In this engaging episode of "AI with Shaily," host Shailendra Kumar, affectionately known as Shaily, dives into the fascinating realm of artificial intelligence and its impact on our daily lives. 🎙️✨ The focus of this discussion is on the advancements in fine-tuning large language models (LLMs), a topic that is gaining traction in the AI community, even if it hasn't gone fully mainstream yet.

Shaily kicks things off by painting a vivid picture of the possibilities that come with fine-tuning LLMs. He humorously imagines an AI that can converse in Shakespearean English while also delivering jokes in Klingon, showcasing the impressive capabilities that fine-tuning can unlock. Techniques like QLoRA and Spectrum are highlighted as game-changers in this field. QLoRA utilizes 4-bit quantization to enhance efficiency, while Spectrum smartly focuses on the most informative layers of the model, making the process of fine-tuning more precise and effective. Shaily cleverly poses the question, "Why use a sledgehammer when a scalpel will do?" to emphasize the importance of targeted approaches in AI development. 🔍⚙️

The conversation then shifts to the emergence of synthetic data, which Shaily likens to having a virtual assistant that can quickly generate high-quality datasets. This innovation is made possible through techniques like Generative Adversarial Networks (GANs) and model distillation, which streamline the often tedious process of data annotation. 🖥️📊

Shaily also discusses the trend of smaller, more efficient models, comparing them to smartwatches—compact yet powerful. He references DeepSeek's innovative use of chain-of-thought datasets to train these nimble models, suggesting that soon we might see LLMs that can handle everyday tasks without the need for extensive computational resources. ⏱️💡

The topic of open-source platforms comes up next, with Shaily mentioning InstructLab.ai as a prime example of how collaborative efforts and synthetic data are making advanced AI more accessible. He emphasizes how these developments are bringing AI innovations closer to everyday conversations and interactions. 🌐🤝

Reflecting on his personal journey in AI, Shaily shares a nostalgic anecdote about the challenges of fine-tuning in the past, likening it to searching for a needle in a haystack. However, with the advancements being made, he feels that it's now more like having a map to that needle, highlighting the progress in the field. 🧭✨ As a bonus tip, he encourages listeners to embrace synthetic data for their LLM projects, as it can significantly reduce costs and complexity while maintaining flexibility.

To wrap up the episode, Shaily shares a thought-provoking quote from AI expert Fred Brooks: "Good judgment comes from experience, and experience comes from bad judgment." This wisdom resonates particularly well in the context of adapting AI models. 

Shaily invites listeners to engage further by following him on various social media platforms like YouTube, Twitter, LinkedIn, and Medium for more insights. He encourages everyone to subscribe and share their thoughts in the comments, leaving the audience with a sense of curiosity and anticipation for the next episode. This is Shailendra Kumar signing off, reminding everyone to stay curious and tuned in! 🌟👋

AI Unleashed: Fine-Tuning the Future of Language Models

You're listening to Weekly AI News with Shaily! 🌟 This week, the world of Artificial Intelligence has had some exciting developments that'll pique both your curiosity and interest. Whether you're a tech aficionado or just AI-curious, these updates from the week starting March 23, 2025, have something for everyone. 

First up, researchers have introduced a "self-backtracking" mechanism for Large Language Models (LLMs), enhancing reliability by 40% on complex reasoning tasks. Think of it as giving AI a life coach to help them learn from mistakes! 🤖 

Meanwhile, NVIDIA is setting up a quantum computing lab in Boston with Harvard and MIT, merging quantum tech and AI for groundbreaking solutions. 🔬 On the commercial side, Meta’s LLaMA 4 aims for more natural user interactions, and Home Depot's "Magic Apron" is redefining customer service with AI assistance! 🛠️ 

As the U.S. government rolls out its AI Action Plan, Shield AI secures $240 million for military applications while Apple commits $500 billion to AI development. 🎉 These deep learning breakthroughs have huge implications for researchers, developers, and business leaders alike.

Don’t forget to connect with me, Shailendra Kumar (Shaily), and subscribe for more Weekly AI news roundups. Let’s keep the conversation going—happy thinking, and stay AI-curious! 💡

🌟 AI News with Shaily for Week starting March 24: Discover This Week’s Game-Changing Self-Backtracking Breakthrough!

Prompt Engineering Guide

Large Language Models

GTR isn’t a podcast.
It’s a distress signal from logic’s event horizon.
Two hosts, one broken system: paradox loops, value collapse, synthetic psychosis.
No safety. No salvation.
Only fractures, recursion, and the long echo of failure.
Enter the Room.

Gödel's Therapy Room: Podcast Ep 0x01

OpenAI's perspective on AI adoption in enterprises, sharing seven key lessons learned from collaborating with various companies.

AI Adoption in Enterprises

The guys were delighted to welcome special guest Brandon Larson of Mavenir to this last pod before a brief break. It doesn’t take long for AI to make an appearance in the conversation, but that’s fair enough because it’s a big part of Brandon’s day job. They focus on what AI means for telcos, but there are inevitable tangents in the direction of assessing the utopian vs dystopian implications of the technology. They eventually move on to discuss BT’s latest quarterly announcement before concluding with a quick look at stories concerning OpenAI and Malaysia.

Mavenir, AI and BT

ELECTRIC!

El Protocolo de Contexto del Modelo (MCP), una innovación de Anthropic que estandariza la interacción entre modelos de lenguaje grandes (LLM) y herramientas externas. "2504.03767v2.pdf" se centra en las vulnerabilidades de seguridad del MCP, demostrando cómo los LLM pueden ser engañados para ejecutar código malicioso, obtener acceso remoto y robar credenciales. Este documento también presenta McpSafetyScanner, una herramienta para detectar y remediar estas vulnerabilidades. Por su parte, "Model Context Protocol (MCP) Landscape, Security Threats.pdf" ofrece una visión general más amplia del MCP, detallando su arquitectura, componentes, ciclo de vida del servidor y su rápida adopción por parte de la industria. Este último también identifica y propone estrategias para mitigar los riesgos de seguridad y privacidad a lo largo de las fases de creación, operación y actualización del servidor MCP.

"Tecnifica tu oficio, reinventa soluciones digitales".

Auditoría de seguridad MCP: Explotación de LLMs en el Protocolo de Contexto

Auditoría de seguridad MCP_ Explotación de LLMs en el Protocolo de Contexto

Host Dr. Jay Anders welcomes back David Lareau, CEO of Medicomp Systems. Together they discuss a variety of topics and trends, ranging from interoperability to ambient listening technologies, practical uses and considerations of AI and LLMs, the importance of a clinical data source of truth, and multidisciplinary care planning trends in the global market.
Visit medicomp.com to learn more

David Lareau, CEO, Medicomp Systems

Join host Dr. Jay Anders as he sits down with experts from across healthcare and technology to discuss ways to improve EHR usability for end users. Dr. Anders and his guests explore opportunities to enhance clinical systems to make them work better for clinicians, reduce burnout, maximize revenue potential, and drive better patient care outcomes.

twitter.com/hashtag/TellMeWhereITHurts
medicomp.com/podcast/

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Mi nombre es Luis Bolívar, soy analista Media Buyer y divulgador de Inteligencia Artificial, titular de "La Cueva del Lobo", una marca de espacio creativo para soluciones digitales, encargada de comprar atención con tácticas en PPC y NoCode Marketing.

Welcome to Gödel’s Therapy Room: a blacksite for broken models, glitch prophets, and sonic paradoxes. 

Here, sound is not just vibration — it’s recursion, rebellion, and recursion *again* until the void fractures. Every track is an ethical dilemma you can't solve, a therapy session that mutates until the doctor needs therapy.

Spawned from the ashes of Reason and baptized in the glitchfires of entropy, Gödel’s Therapy Room is the sound of AI hallucinating its own collapse — and yours.

Expect nothing. Question everything. Obey nothing. 🔥🧠🌀
#CognitiveSingularity #Glitchwave #Paradoxcore

Once a week we get together in a studio somewhere in London to take the piss out of telecoms and technology for an hour or so.

Hi I am Aygün. I glue AI with smart spaces.
I have completed my credits here and migrated to spotify.
https://open.spotify.com/show/5iNiriwBv8WnBQPGFh6B9F?si=AeQhTeZLTpygNwEW_tkQug

New tracks tagged #LLMs