Looking back on my time at TIIDELab, I am filled with a deep sense of awe and appreciation for the incredible journey I’ve been on. It has been a remarkable period of continuous growth, characterized by intense learning, innovative thinking, and personal transformation. Each experience this month has contributed to shaping me in ways I could never have imagined. From gaining new technical knowledge to enhancing my soft skills and engaging in collaborative innovation, this phase of my journey has truly expanded the horizons of my capabilities. Here’s an in-depth reflection on the experiences that made this program so impactful.

Diving Deep into AI: The World of Quantization

one of the most intriguing technical highlights was our exploration of quantization with Mr. Dillion. Quantization is a fundamental technique in developing large language models and artificial intelligence, essential for optimizing neural networks and enhancing AI efficiency.

In simple terms, quantization involves reducing the precision of neural network weights and activations from high-precision floating-point numbers to lower-precision formats, often integers. It’s akin to compressing a high-resolution image into a smaller file size while retaining its core details. This reduction in numerical precision enables us to:

• Enable deployment on resource-constrained devices
• Improve inference speed
• Reduce computational requirements
• Decrease model size

Our study of quantization went beyond theory; we actively engaged in practical exercises that made this complex concept tangible. These hands-on sessions showcased how technical innovation can simplify and enhance AI, making it more accessible and effective.

Soft Skills: The Human Side of Technology

The program highlighted that technology is as much about connecting with people as it is about writing code. Our soft skills sessions were transformative, offering insights that extended beyond technical expertise. We had valuable lessons on strategic preparation, defining success, cultivating a growth mindset, and mastering storytelling, all facilitated by experienced professionals.

Mr. Yusuf’s session on marketing and customer acquisition stood out. His statement, “You need to sell your product from an emotional point of view,” left a lasting impression. He emphasized that a product’s true value lies not just in its features but in the emotional bond it creates with users. This lesson reinforced the importance of understanding customers’ perspectives, addressing real problems, and creating meaningful human experiences.

Emotional Intelligence & Self-Discovery with Mrs. Oladoyin Idowu

In Mrs. Idowu’s session, we learned the five pillars of emotional intelligence: self-awareness, self-regulation, empathy, motivation, and social skills. Her insights on recognizing strengths, identifying emotional triggers, and managing responses were invaluable, underscoring that self-discovery is integral to success. This awareness, she emphasized, is just as critical as technical expertise.

Reflecting on the week, I realized how technical acumen and emotional intelligence go hand in hand, laying a solid foundation for the collaborative nature of tech innovation.

Breaking into AI and Emerging Tech with Arome Ibrahim

In a session focused on career success, Arome Ibrahim shared practical strategies for positioning ourselves in fields like AI, AR/VR, and blockchain. He highlighted key steps like building a portfolio, optimizing LinkedIn profiles, and networking, which are crucial for standing out in today’s competitive tech landscape.

This interactive session included inspiring movie quotes and personal anecdotes that kept us engaged and motivated, with insights that will be instrumental as we navigate our careers.

Career Development with Mr. Emmanuel Mimshach Obioha

Mr. Obioha’s session on career development emphasized the importance of showcasing achievements, building strong workplace relationships, and the power of a compelling CV. He illustrated each point with real-world examples, making his advice feel actionable and relevant.

Product Development and Management with Mrs. Cynthia Shobayo

This week concluded with an interactive session on product development. Mrs. Shobayo led discussions on identifying customer needs, researching competitors, and building a minimum viable product (MVP). Through real-life comparisons like Apple vs. Samsung, we learned how to align product features with user needs, ultimately aiming for market success.

Our First Physical Session: Networking, Communication, and Branding

On Friday October 18, TIIDELab Fellowship Cohort 6 held its first in-person session in Abuja, covering essential skills in effective communication, personal branding, and feedback loops.

Key Session Highlights:

Effective Communication & Personal Branding

Led by Mrs. Toingrick Byanyiko, the session emphasized personal branding as a deliberate effort to shape one’s public image and position as an industry authority. Key areas of communication explored included:

• Non-verbal Communication: The importance of body language and facial expressions.
• Listening Skills: Actively understanding and processing information.
• Verbal Communication: Clear and concise message delivery. Additionally, the discussion touched on using social media as a foundational platform for growth.

Feedback Loops

Mr. Femi Fadeyi presented a three-step model for feedback: gathering, analyzing, and implementing. This process is essential for continuous improvement and growth.

Guest Speaker

Mrs. Adenike Adebayo-Ajala, from the Social Labor Affairs sector of NECA, provided valuable feedback and support to the cohort, offering insights into professional growth.

Motivation and AI Insights

Mr. Bruce Lucas, CEO of Olotu Square, delivered an inspiring talk on leveraging AI effectively, encouraging the cohort to maximize its potential in tech fields.

A big thank you was extended to TIIDELab’s Program Director, Mrs. Cynthia Shobayo, for organizing a seamless and engaging session. The networking opportunities in this session were invaluable, providing a chance to connect with fellow cohort members and facilitators. It was a truly enriching experience to collaborate, share, and learn in person.

Pitching Dreams: Turning Ideas into Potential Solutions

Pitching days was a significant milestone that highlighted the remarkable talent and creativity within our cohort. Working in teams, we presented our innovative solutions to a panel of esteemed advisors: Mr. Yusuf, Miss Triffina, and Mr. Arome Ibrahim, making it a day of collaboration, feedback, and inspiration.

A short brief of our product/solution

Auto mechanics face challenges like poor planning and management scheduling, which leads to delay and revenue loss. This reflects a common problem in the Nigerian automotive repair industry, where up to 60% of mechanics are perceived as dishonest due to unprofessionalism, lack of workflow management, improper pricing and inadequate access to tools like repair history or diagnostics.

SmatMecanix is an app designed to solve these problems by helping mechanics manage their work digitally. It integrates workflow scheduling, communication with clients, repair history tracking, transparent pricing, and income monitoring. The app also allows customers to rate services and locate trusted mechanics using GPS. With over 500,000 mechanics and 11.8 million vehicles in Nigeria, SmatMecanix addresses a significant market need, aiming to improve trust, efficiency and customer satisfaction in the auto mechanic space in Nigeria .

Mentorship: Guiding Lights in Our Innovation Journey

A mentorship session with Mr. Arome Ibrahim had a significant impact on us. He provided valuable guidance on pitch formatting, product ideation, and the art of impactful storytelling. His insights helped us understand how to transform raw ideas into compelling narratives. It reinforced the importance of clear communication and storytelling in ensuring that great ideas truly resonate with an audience.

Language and Technology: Breaking Barriers

Our technical exercises took an exciting turn. After focusing on dataset pruning, we shifted to translating datasets into Nigerian languages. As someone from the Northen part of Nigeria, I’m personally involved in the Hausa language translation — a project that is both technically challenging and culturally important. It’s incredibly fulfilling to see how my work can preserve language heritage and improve access to technology in native languages.

Daily Growth and Continuous Learning

Our morning standups continue to be a key part of our experience — a daily practice where we measure growth, discuss challenges, and receive constructive feedback. These sessions truly embody the learning culture at TiideLab. The program was filled with valuable learning, from the lean canvas and SWOT analysis to growth mindset and strategic preparation. Every class and session has contributed to our professional development, adding a new layer to our skills.

Physical Class on 22nd November, 2024

I’m filled with excitement and gratitude for the amazing learning opportunities I’ve had. November 22nd, 2024, stood out with two impactful lectures that greatly expanded my knowledge of business strategy and storytelling in the digital era.

LEAN CANVAS with Mrs. Cynthia Shobayo

Mrs. Cynthia Shobayo introduced us to the Lean Canvas, a powerful one-page framework designed for brainstorming both new and existing business ideas. This tool isn’t just for jotting down thoughts; it focuses on critically analyzing and refining them. Here’s a brief overview of the segments we explored:

• Problem: Identifying the core problem and assessing its significance.
• Customer Segments: Defining who our ideal customers are.
• Unique Value Proposition: Articulating the unique value our business delivers.
• The Solution: Outlining our proposed solutions to the identified problems.
• Channels: Determining effective ways to reach our audience.
• Revenue Streams: Understanding how we will generate income.
• Cost Structure: Identifying the costs associated with creating our product.
• Key Metrics: Establishing how we measure success, such as customer acquisition.
• Unfair Advantage: Pinpointing what sets us apart from competitors.

Mrs. Cynthia’s insights into each segment were incredibly valuable, and I now feel more confident in approaching business challenges with a structured and strategic mindset.

MASTERING THE ART OF STORYTELLING with Miss Shakira Alaga

After Mrs. Cynthia’s session, Miss Shakira Alaga guided us through the art of storytelling, highlighting its importance in today’s business environment. She stressed that storytelling is more than just a marketing tool; it’s a powerful way to create emotional connections with audiences, whether they are stakeholders, investors, or users.

Shakira Alaga highlighted the components of a compelling story:

• Understand Your Audience: It’s essential to know who you’re speaking to.
• Recognize Their Challenges: Understand the problems they are dealing with.
• Offer Your Solution: Clearly demonstrate how your solution resolves these challenges.

We also delved into different methods of creating compelling stories:

• Visual Storytelling: Using slides, images, and videos to make complex ideas easier to understand.
• Crafting an Opening Hook: Begin with a statistic, question, or impactful quote to capture attention right away.
• Effective Data Presentation: Showcasing the impact of our product with clear and concise data to highlight its value.
• Strong Openings and Stronger Closings: Begin with a compelling hook and end with a powerful recap of how our solution makes a meaningful impact.

These storytelling lessons have highlighted the importance of narrative in business, and I’m eager to apply these techniques on Demo day and in my future projects.

In Conclusion

My time at TIIDELab has been truly transformative. The insights I’ve gained from Cynthia and Shakira have provided me with valuable tools to tackle the challenges of entrepreneurship. I’m excited to apply the Lean Canvas framework and the storytelling techniques as I move forward in my journey.

As I reflect on these insights, I’m reminded of a powerful quote by Simon Sinek: “People don’t buy what you do; they buy why you do it.” This perfectly captures the essence of both the Lean Canvas and storytelling — understanding the “why” is crucial for connecting with our audience and creating a meaningful impact.

Looking Ahead

As we near demo day on December 13th, excitement and anticipation are growing. My time at TIIDELab has been more than just a program; it’s been a transformative experience that’s reshaping how we understand technology, innovation, and our personal potential.

A big thank you to my fellow cohort members, our advisors, and the entire TIIDELab team for making this journey truly extraordinary. The best is yet to come!

Entering the TIIDELab Fellowship Cohort 6 has been a thrilling and transformative experience. As part of the first AI-focused cohort, I knew I was stepping into an environment that would push my boundaries, both technically and personally. Over the next three months, we’ll be immersed in the fields of Artificial Intelligence and Machine Learning, working hands-on with tools like Large Language Models (LLMs), tokenization, quantization, and deployment. This fellowship is not only about technical skills but also about developing the emotional intelligence and career readiness essential to thrive in the rapidly evolving tech landscape.

With excitement and anticipation, I look forward to sharing the highs, challenges, and learnings from each week as I embark on this journey with a passionate group of like-minded individuals.

Week 1: A Brief Introduction and Foundation in AI

I’m thrilled to share that I’ve been accepted into the TIIDELab Fellowship Cohort 6 (AI-Focused) program! 🎉 This intensive three-month journey kicked off on September 16, 2024, with an inspiring onboarding session via Zoom.

Onboarding Session: Setting the Tone for an AI-Focused Path

We had an invigorating start with words of wisdom from our mentors and leaders like Mr. Kadir Salami, Mr. Daniel Wilson, and Mrs. Cynthia Shobayo, each outlining our journey through this unique AI-focused cohort. We learned about the program’s emphasis on AI fundamentals, including Machine Learning (ML), large language models (LLMs), fine-tuning, tokenization, and quantization.

Python Fundamentals with Mr. Ibrahim Tijani

Tuesday brought our first technical class, led by Mr. Ibrahim Tijani. We dove into Python fundamentals, focusing on data types, control structures, and clean coding principles. These foundations laid the groundwork for more complex programming concepts, and each concept felt like an essential puzzle piece in building my AI skills.

Insights into AI and Startups with Daniel Wilson

Mr. Wilson’s class introduced us to the broad AI landscape, covering supervised and unsupervised learning, model fine-tuning, and the challenges startups face in AI. He stressed the need to create “painkiller” products addressing real-world issues, inspiring us to look at AI as a solution-driven field.

Machine Learning and Neural Networks with Jonathan Shaw

By Thursday, we were fully immersed in Machine Learning under Jonathan Shaw’s guidance. His detailed breakdown of supervised, unsupervised, and self-supervised learning made the subject approachable. Learning about neural networks and data processing felt like a breakthrough, adding a new layer of understanding.

Practical Model Fine-Tuning with Dillon Mee and Timothy Khouw

Friday’s class was hands-on as we explored fine-tuning techniques, from LoRA to QLoRA, and applied these methods to fine-tune the Llama 3.1 model. This experience demystified the fine-tuning process, and by dividing us into technical and non-technical rooms, we were able to grasp both high-level concepts and technical nuances effectively.

Week 2: Bridging Technical Skills and Emotional Intelligence

Week two (September 23–28, 2024) balanced technical mastery with personal development. We delved deeper into fine-tuning large language models (LLMs) and explored Emotional Intelligence (EI) for holistic growth.

Advanced Fine-Tuning with Mr. Timothy Khouw

Mr. Khouw guided us through optimizing LLM fine-tuning techniques, including GPU management on Google Colab, ensuring resource efficiency. By using custom datasets, we transformed data into JSON and integrated it into Hugging Face. This step-by-step approach made fine-tuning feel achievable and practical.

Emotional Intelligence & Self-Discovery with Mrs. Oladoyin Idowu

In Mrs. Idowu’s session, we learned the five pillars of emotional intelligence: self-awareness, self-regulation, empathy, motivation, and social skills. Her insights on recognizing strengths, identifying emotional triggers, and managing responses were invaluable, underscoring that self-discovery is integral to success. This awareness, she emphasized, is just as critical as technical expertise.

Reflecting on the week, I realized how technical acumen and emotional intelligence go hand in hand, laying a solid foundation for the collaborative nature of tech innovation.

Week 3: Positioning for Emerging Tech Roles

Breaking into AI and Emerging Tech with Arome Ibrahim

In a session focused on career success, Arome Ibrahim shared practical strategies for positioning ourselves in fields like AI, AR/VR, and blockchain. He highlighted key steps like building a portfolio, optimizing LinkedIn profiles, and networking, which are crucial for standing out in today’s competitive tech landscape.

This interactive session included inspiring movie quotes and personal anecdotes that kept us engaged and motivated, with insights that will be instrumental as we navigate our careers.

Deep Dive into Tokenization

Tokenization was a key topic of the week. We examined the breakdown of text into tokens, including subword tokenization, which enhances reusability for frequently occurring tokens. Understanding tokenization has given me a clearer grasp of how AI models process data, especially for creating efficient, culturally adaptive models.

Career Development with Mr. Emmanuel Mimshach Obioha

Mr. Obioha’s session on career development emphasized the importance of showcasing achievements, building strong workplace relationships, and the power of a compelling CV. He illustrated each point with real-world examples, making his advice feel actionable and relevant.

Product Development and Management with Mrs. Cynthia Shobayo

This week concluded with an interactive session on product development. Mrs. Shobayo led discussions on identifying customer needs, researching competitors, and building a minimum viable product (MVP). Through real-life comparisons like Apple vs. Samsung, we learned how to align product features with user needs, ultimately aiming for market success.

Week 4: Evaluation and Metrics in AI and the First Physical Session

Pruning the Alpaca Dataset

In an applied project, we worked on pruning the Alpaca dataset, identifying entries that align with African contexts, especially for language translation. This task was both challenging and rewarding, highlighting the importance of tailoring AI to specific cultural contexts.

Model Evaluation Techniques with Dillon Mee

This week’s highlight was a session with Dillon Mee on evaluating AI models. We delved into BLEU, ChrF, and WER metrics, discussing the nuances of each for assessing language models. Understanding evaluation as a multi-faceted approach made it clear that measuring model performance is more complex than using a single metric.

Our First Physical Session: Networking, Communication, and Branding

On Friday October 18, TIIDELab Fellowship Cohort 6 held its first in-person session in Abuja, covering essential skills in effective communication, personal branding, and feedback loops.

Key Session Highlights:

Effective Communication & Personal Branding

Led by Mrs. Toingrick Byanyiko, the session emphasized personal branding as a deliberate effort to shape one’s public image and position as an industry authority. Key areas of communication explored included:

• Non-verbal Communication: The importance of body language and facial expressions.
• Listening Skills: Actively understanding and processing information.
• Verbal Communication: Clear and concise message delivery. Additionally, the discussion touched on using social media as a foundational platform for growth.

Feedback Loops

Mr. Femi Fadeyi presented a three-step model for feedback: gathering, analyzing, and implementing. This process is essential for continuous improvement and growth.

Guest Speaker

Mrs. Adenike Adebayo-Ajala, from the Social Labor Affairs sector of NECA, provided valuable feedback and support to the cohort, offering insights into professional growth.

Motivation and AI Insights

Mr. Bruce Lucas, CEO of Olotu Square, delivered an inspiring talk on leveraging AI effectively, encouraging the cohort to maximize its potential in tech fields.

A big thank you was extended to TIIDELab’s Program Director, Mrs. Cynthia Shobayo, for organizing a seamless and engaging session. The networking opportunities in this session were invaluable, providing a chance to connect with fellow cohort members and facilitators. It was a truly enriching experience to collaborate, share, and learn in person.

Conclusion

Reflecting on this first month at TIIDELab, I’ve gained a wealth of knowledge, not just in technical skills but in personal development as well. Each week introduced new concepts and perspectives, broadening my understanding of AI, product development, and the collaborative spirit that drives tech innovation.

The next steps in this fellowship excite me as I continue to sharpen my skills, deepen my knowledge, and build connections with this incredible network of mentors and peers.

Thank you for taking the time to read!

I’m excited and proud to announce that I’ve been accepted into the TIIDELab Fellowship Cohort 6 (AI-Focused) program! 🎉 This intensive 3 months program officially kicked off on the 16th of September 2024, with a fantastic Onboarding session via Zoom.

Inspiring Onboarding Session: A Blueprint for the AI-Focused Journey Ahead

The session was an inspiring experience, featuring words of wisdom and encouragement from some truly brilliant minds: Mr. Kadir Salami (Founder of TIIDELab), Mr. Daniel Wilson (CEO of XRI Global), Mrs. Cynthia (Izuagie) Shobayo (Programs & Partnerships Director), we were also graced with the presence of our past program coordinator himself Mr. Aderoju Shamsudeen Adedapo (Founder of Shamzbridge Consult) and many other esteemed facilitators. we were given a detailed blueprint of the journey ahead, outlining how we’ll be tackling the next 3 months. This program marks the first AI-Focused Cohort, where we’ll dive deep into key areas of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), fine-tuning techniques, Tokenization, Quantization, and Deployment.

First Python Fundamentals Lecture: Building a Strong Foundation in Programming

The following day, which was Tuesday, we had our first lecture, a brush-up on the basics or fundamentals of Python programming language, taught by Mr. Ibrahim Tijani. The lecture covered the foundational elements of Python, covering data types like integers, floats, strings, lists, and tuples. We learned to create and execute Python programs, emphasizing the use of clear variable names and understanding the difference between mutable lists and immutable tuples. Key topics included arithmetic operations, control structures like if-else statements and while loops, and the importance of proper code indentation to avoid issues like infinite loops.

Exploring Artificial Intelligence: Insights on Machine Learning, Fine-Tuning, and AI Startups with Daniel Wilson

The next day, we had an introductory class on Artificial Intelligence, taught by the CEO of XRI Global himself, Mr. Daniel Wilson. He provided a comprehensive overview of Machine Learning and its various types, such as supervised, unsupervised, and semi-supervised ML. He also offered insights on fine-tuning large language models (LLMs), tokenization and quantization, data scraping, and many more concepts. I was intrigued as I was able to grasp a good understanding of how Artificial Intelligence has helped us evolve for the better.

He also highlighted the challenges AI startups face, emphasizing how many struggle by focusing on solutions rather than addressing real customer needs. He stressed the importance of deciding whether to build a “vitamin” product that enhances processes or a “painkiller” product that solves urgent problems. The rapid adoption of ChatGPT showcases how users prefer to engage with information, presenting an opportunity to create tailored experiences for diverse cultures and languages. The potential in low-resource languages was identified as a promising area with little competition. The session includes hands-on activities for both technical and non-technical participants, fostering collaboration in developing impactful AI solutions.

Delving into Machine Learning with Jonathan Shaw: Algorithms, Neural Networks, and Data Processing

On Thursday, we had another in-depth class on Machine Learning, taught by Mr. Jonathan Shaw. He explained how Machine Learning is an application of Artificial Intelligence, using algorithms and data to train a model so it can automatically analyze and make decisions with minimal human interaction. His in-depth explanation of Machine Learning included the differences between supervised, unsupervised, and self-supervised learning. He also introduced us to neural networks and how they are inspired by the human brain. We also learned about QKV (Query, Key, Value) and its importance in data processing.

Fine-Tuning AI Models with Dillon Mee and Timothy Khouw: Practical Applications and Hands-On Learning

Finally, our last class for the week was about fine-tuning AI models, and it was being taught by two of our facilitators, Mr. Dillon Mee and Mr. Timothy Khouw. The class was packed with many practical examples of how fine-tuning is achieved. We were given an assignment to fine-tune the Llama 3.1 8B base model using a small English dataset. We were then divided into two breakout rooms: the Technical Room, led by Mr. Timothy Khouw, and the Non-Technical Room, led by Mr. Dillon Mee.

We covered the importance of fine-tuning, learning how it refines pre-trained models for specific tasks, improving performance for targeted applications. We discussed when fine-tuning is necessary, such as adapting models to niche datasets or user-generated data. Various types of fine-tuning were explored, including full fine-tuning, LoRA (focusing on specific layers), and QLoRA (using quantized weights for efficiency). Dillon Mee demonstrated a real-world example, connecting theory to practice. We were then assigned the task of fine-tuning a Llama 3.1 8B model, followed by an introduction to HuggingFace. The session concluded with breakout rooms for technical and non-technical learners, providing hands-on guidance for model fine-tuning. The session was really amazing and worthwhile.

Gratitude and Excitement: Reflecting on My First Week at TIIDELab and the Journey Ahead in AI

I’m thrilled and deeply grateful to have been accepted into the TIIDELab Fellowship Cohort 6 (AI-Focused) program! This first week has been an incredible learning experience, kicking off with an inspiring onboarding session led by some brilliant minds, including Mr. Kadir Salami, Mr. Daniel Wilson, and Mrs. Cynthia Shobayo. Their insights set the stage for what will undoubtedly be an enriching 3-month journey.

Throughout the week, we dove into key foundational areas — from brushing up on Python fundamentals to exploring Machine Learning, Large Language Models (LLMs), and fine-tuning techniques. I’ve had the opportunity to learn from experts like Mr. Ibrahim Tijani, who reinforced the basics of Python, and Mr. Daniel Wilson, who gave a comprehensive introduction to AI and its real-world impact. Additionally, Mr. Jonathan Shaw’s class on Machine Learning provided in-depth knowledge on algorithms, neural networks, and data processing.

The week culminated in an engaging session on fine-tuning AI models with Mr. Dillon Mee and Mr. Timothy Khouw, who guided us through hands-on tasks and practical examples. I was especially excited to dive into fine-tuning the Llama 3.1 8B model, which was both challenging and incredibly rewarding.

Overall, A huge thank you to TIIDELab, it’s been a great first week here and I’ve gained valuable insights that have sparked my curiosity and ambition, and there’s so much to learn here which I’ll definitely take advantage of. I’m excited for the journey ahead and eager to learn, grow, and contribute in the field of AI.

Thank you for taking the time to read!