Data Privacy vs Cheap value vs Compromises

How your data is bought at Low costs and leveraged to build ML Models !!!

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LLMs - Production vs Prototype

 #LLM is #Cool! #PromptEngineering is great. Demonstrating a prototype is beneficial, but for a production application, preparing data and consistently getting Top K results are essential. The ability to handle diverse queries, manage large datasets vs. remembering minimal key data are significant trade-offs and design choices that come with domain knowledge. Building a working solution is easy, but achieving predictable, low-latency, and consistent behavior requires constant iteration and evolution. #Perspectives and #AppliedLearning are key. #AI #MachineLearning #DataScience #Prototypes #ProductionReady #DataPrep #Latency #Consistency #Iteration #

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Why big companies failed to build LLMs

 

How Alexa dropped the ball on being the top conversational system on the planet
—
A few weeks ago OpenAI released GPT-4o ushering in a new standard for multimodal, conversational experiences with sophisticated reasoning capabilities.

Several days later, my good friends at PolyAI…

— Mihail Eric (@mihail_eric) June 11, 2024

• Data was poorly annotated. Documentation was either nonexistent or stale.
• Experiments had to be run in resource-limited compute environments. 
• That meant for months our internal annotation team had been mislabeling thousands of data points every single day
• antagonistic mid-managers that had little interest in collaborating for the greater good
• Duplicated efforts due to no shared common ground 

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LLM Perspectives - Familiarity vs Randomness

 

There's a big difference between solving a problem from first principles vs applying a solution template you previously memorized. It's like the difference between a senior software engineer and a script kiddie that can't code.

A script kiddie that has a gigantic bank of scripts… https://t.co/l2W8FUnwj8

— François Chollet (@fchollet) June 10, 2024

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Next Real - Startup - Healthcare + AI

 

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The Power of Titles: A Strategic Path to Influence and Impact

 My take from video - Link

Phase I: The Importance of Titles

• Influence with Titles: Titles matter because they shape perceptions and open doors.
• Decision-Making Power: Titles matter because they provide authority and credibility.
• Risk-Taking: Titles matter because they create platforms for bold actions.

Phase II: Embrace Risk on the Road to Titles

• Strategic Risk taking: Leverage every opportunity to step into roles that accelerate your journey to influential titles.
• Proactive Role Selection: Choose roles that enhance visibility and pave the way to coveted titles.

Phase III: Deliver Impact, Titles Will Follow

• Impact-First Approach: Focus on making meaningful contributions; impactful deliverables naturally lead to recognition and prestigious titles.
• Purpose-Driven Path: Prioritize routes that enhance your impact; the right titles will follow in recognition of your value.

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Transfer Learning Notes

Teach the process/approach for students to get better clarity :). My answers for below question 

 When does Transfer Learning work?

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Humanoids

#humanoids = #llm powered decisions + #robotics + custom models trained for specific tasks, Build custom models to suit specific needs https://t.co/sxcaqCk46U

— Siva (@sivaram2k10) May 12, 2024

 

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Embracing Lifelong Learning: A Call to Rethink Skills, Failure, and Progress

In an era where innovation propels us forward, the history of automobiles and airplanes serves as a powerful reminder of human ingenuity and resilience. These inventions, perfected over decades, symbolize our capacity to adapt and trust in both progress and the individuals behind it. Just as we have placed our trust in these revolutionary technologies, it is imperative that we apply the same open-mindedness and commitment to the world of personal and professional development—especially in emerging fields like AI.

Learning as a Natural Process

Learning, particularly in artificial intelligence, should not be treated as an imposition but rather as a natural extension of our innate curiosity and growth. Constraining this process to fixed timelines or comparisons only hampers the genuine learning experience. Instead, the focus should be on addressing challenges that resonate personally, which ensures a more authentic and impactful engagement with the subject matter.

The Power of Continuous Improvement

One of the most empowering aspects of learning is that it does not require formal recognition or titles. True learning comes from a steadfast commitment to experiment, fail, collaborate, and relearn. By prioritizing personal skills and interests, each individual paves their own unique path towards their goals. This journey enriches not only the learner but also those around them, transforming interactions and leading to mutual progress.

Failure is Okay, Experience and Journey matters

Moreover, undergoing failures—be they in products or personal lessons—are crucial in shaping a more empathetic and knowledgeable individual. These experiences teach resilience and provide unique insights that can be shared with others. In doing so, a learner evolves from a mere participant in their field to a mentor and leader who uplifts and educates, rather than exploiting the potential of others.

Keep Learning

Embrace the process of learning as you would trust the safety of a car or a plane. Dive deep into your passions, allow yourself the freedom to fail, and rise with a richer understanding and capability to contribute positively.

Remember: the journey of learning should be liberating, not limiting. Let's commit to making learning a part of our lifestyle—to continuously develop skills that drive us towards our ultimate destinations.

Keep learning, growing, and influencing. The road ahead is as exciting as you choose to make it.!!!

Run prompts locally - lmstudio

• Download https://lmstudio.ai/
• Download mistral model
• Run Prompts Locally

My quick ref tutorial I looked up - Link

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