LLM Reasoning - Procedural ?

LLM = Improving Interpolation / Level of abstraction has improved / Chain of abstractions

Same characteristics as humans may not be there but it may reach a better level of abstraction and interpolation

Keep Going!!!

Leader in Today's Generation

• Someone who can learn faster than the rest of the team.
• Someone who can bring their experience and perspective to find solutions when trade-offs are needed.
• Someone who balances skills, team talent, and deadlines effectively.
• Someone who learns on behalf of the team, anticipating questions before they arise.
• Someone who takes responsibility for failures.
• Someone who brings experts to the table when external perspectives are needed.
• GenAI is like having interns for CEOs. Now, all we need is focus, time, and the willingness to learn.

A true leader of today's generation learns faster than the rest, balances talent and deadlines with precision, takes responsibility for failures, and brings in the right expertise when needed. They anticipate challenges, solve problems with perspective, and embrace AI as a catalyst for growth—fueled by focus, time, and a willingness to learn

Keep Going!!!

My Learnings as an AI Strategist / AI Advisor / Solution Architect

• Finding a Job: Understand the difference between finding a job that pays well and aligns with your passion. Aim for the latter; it fuels long-term growth and fulfillment.
• Building Passion: In the early stages, it's okay to prioritize learning over earning. Build your passion—it's an investment in your future.
• Focus on Problem-Solving: Choose a direction that enables you to build impactful products and address core challenges comprehensively.
• Avoid Distractions: Stay focused and don't get sidetracked by every new opportunity or idea that comes your way.
• Maximize Peak Years: Your 'peak' years—when you have the best health, time, and energy—are limited. Make the most of them by working on meaningful goals.
• Leverage Your Perspective: Your unique perspective is your strength and grows more valuable over time. Share your authentic lessons to inspire and guide others.
• Spread Optimism: Life is short. Be a source of hope and positivity. Remember, technology isn't inherently complex—it's often how it's communicated or understood that makes it seem so.

"Focus on building your passion, solving meaningful problems, and sharing your unique perspective. In your peak years, embrace learning, spread optimism, and leave a legacy of impact and inspiration."

Keep Going!!!

Humans vs Ants

Sometimes we push our ideas vs working towards a common goal :)

Keep Going!!!

Stay Low - Provide good quality AI Advisory - Keep Collecting Unique Perspectives

 AI Advisory - High-speed learning, Applied past lessons, Lot of scars to build consistent and low latency and highly accurate solutions :)

Keep Going!!!

Transforming Setbacks into Strength: Lessons in AI Consulting and Trust

Introduction

I embarked on a journey to engage with my ex-colleague, who is currently a VP in a small industrial construction company, by providing AI advisory and learning sessions. Initially, it seemed like a promising exploration—teaching and guiding them through foundational concepts like LLMs, prompts, and RAG (Retrieval-Augmented Generation).

Early Teaching Phase

In the beginning, I had to explain the basics: what an LLM can do, what a prompt is, and how RAG techniques enhance information retrieval. After about a month, this ex-colleague returned, claiming there was negligible value and no tangible deliverables. This should have been a red flag, indicating that the cost and effort involved in teaching, training, and experimenting were not fully appreciated.

The Red Flags

In hindsight, I realize I should have caught the warning signs earlier. I kept insisting that experimentation was the key to understanding the capabilities and limitations of GenAI tools. Instead, this person seemed to push for more work in a shorter timeframe—a strategy to extract maximum value with minimal investment.

Shifting Roles and Promises

Later, I received an offer to join their team with a fixed pay and 5K shares, helping to architect solutions, pitch them to the market, and shape the product roadmap. The proposal seemed promising, aligning with my goal of taking on a more advisory and architectural role. Little did I know it was a tactic to consult, gain maximum value, and then part ways.

Building a Product and Architecture

As trust deepened—bolstered by a long-standing relationship spanning over a decade—we agreed on shares and informal terms. I invested significant effort: in training the team from scratch in LLM prompting, RAG, search customization, improving accuracy, data preprocessing, and system architecture. I demonstrated how to organize data effectively and leverage different approaches for better product outcomes. I also built a pitch deck, developed an API strategy, and created a technical feature roadmap.

The Unexpected Termination

Even as the product began to take shape, I was blindsided. Suddenly, he informed me they no longer required my services because they had found someone else to present the solution to the market. My requests for formal acknowledgments, like patents, were brushed aside. From the start, they had planned to offer low pay and shares, then terminate later. There was a clause stating that shares were invalid if I was no longer working for them—a clever strategy of betrayal. This was a person I had known for 14 years. It’s a stark reminder of what even people you know well can do.

Lessons Learned

This experience taught me that trust should be tempered with caution. Even long-standing relationships can falter when values, mindsets, and ethics come into play. Nonetheless, the knowledge I gained—developing product pitches, architectures, and end-to-end solutions—are useful for my current customers :), whether they need unstructured ETL solutions, industrial RAG systems, or tailored recommendation engines. Everything that broke you, builds you even stronger in the next epoch.

Always approach advisory roles with careful consideration and safeguards in place, no matter the length or depth of prior relationships. While losing out can hurt, the experience and skills you acquire will benefit you and your future clients.

My Advice

• → Don't be too open to "any opportunity."
• → Share your perspectives and answer questions with a clear, direct response.
• → Ask strategic, thoughtful questions to understand the big picture.
• → Show your value proposition and let your work speak for itself.

Keep Going!!!

Top 5 Practices to Master GenAI Product Development

• Focus on Solving the GenAI aspect - Prompts / Model Versions
• Focus on Scaling for multiple formats - Prompt Catalogs / Prompt Versions
• Focus on Low latency - Cache key data, Reuse data, RAG over docs, Graphs, Summarized data
• Focus on Accuracy across the board - Preprocess, Normalize, and Organize data effectvely based on use case, RAG over docs, Graphs, Summarized data
• Focus on Safe usage - Enforce Guardrails
• Entry of Agent - Once you have achieved it you can migrate to agentic approach but have more controls

If you need more AI Advisory, I am always available, You can learn from my course / schedule a call :)

GenAI and Cybersecurity – Frameworks and Best Practices 2024

Our course footprint :)

Keep Going!!!

Consistency, Latency, and Relevance in my AI Advisory Role :)

• Sometimes we need to move beyond the myth of waiting for #growth or #title to understand how well we can perform across roles, leveraging our strengths based on the situation.
• Sometimes you provide a tech overview, and that may translate into a PRD (Pseudo PM :).
• Sometimes you discuss latency again and again, slice and dice data, and there will be an “aha” moment (RAG specialist).
• Past experiments, current failures, and handling unknowns with a bit of intuition make you an optimistic solution architect.
• With GenAI, every role seems to blend multiple functions. Know the product, know the futuristic workflow, code, demo, and be hands-on whenever possible to make an impact.
• Be focused only on areas where you can scale. You cannot scale in every tech/role.
• GenAI in supply chain course preparation work made me revisit my Microsoft experience and reimagine the agentic supply chain.
• GenAI for the leadership project creation work helped me create usecases to evaluate balance time, money, and talent for 'C'-suite planning.
• Auditing the GenAI app made me realize that security and Ethical AI need more attention.
• Knowledge is collected through multiple highs, lows, failures, and moments in life. In the end, you can be a well-informed mentor who has tried technology to the best of your ability.

#HumanwrittenAIEdited #Perspectives #GenAI #Myworkperspectives

Automation, Assistance, Copilot - Metamate

 

Meta rolls out internal AI tool as it pushes into business market

• Social media group targets burgeoning artificial intelligence sector as it develops ‘Metamate’ workplace assistant
• This will also be used to build AI-based Marketing products

Automation, Assistance, Copilot = Metamate

Keep Thinking!!!

AIGovernance / AI Regulation for better Future

 

Geoffrey Hinton: the future with smarter AI is unpredictable

We're entering an era of uncertainty when we start dealing with things as intelligent or more intelligent than us.

Then, we have no idea what's going to happen. pic.twitter.com/a4rX8eZqdW

— Haider. (@slow_developer) December 14, 2024

Keep Thinking!!!