Beat: youtu.be/BWUmqgimrFo 
@ 420lom.g @ happy852hk @ lil_fortune_chihuahua 🥷 🥷 🥷

忍者村

Sarbjeet covers his experience at VMware Explore and VMware's positioning post-acquisition, Sarah highlights more news in the continuing slug fest in semiconductors, conjecture about the many suitors courting Hugging Face, and thoughts about the value and value[s] of Generative AI-- landing the third episode of F0r 1nstance.

Show notes: https://docs.google.com/document/d/1tuflncafK03KB0XJ38tlv9FpzdxrJraq8z4o5vTsmuY/edit?pli=1

Episode 03: VMware Explore, the Changing Landscape of Semiconductors, and What Makes AI Generative

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My Cat Stole My Ketamine

In this episode of ODSC’s Ai X Podcast, Jeff Boudier of Hugging Face joins us to discuss Hugging Face’s new “Hugs” service for deploying AI, among other new Hugging Face developments. He’ll also go into detail about fine-tuning for model performance, the evolution of AI agents, and the challenges faced when deploying AI models into production.
Jeff Boudier is the Head of Product at Hugging Face, the #1 open platform for AI builders.
Previously, Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as director of Product Management, Product Marketing, Business Development, and Corporate Development.
Show Questions:
- Details about Hugging Face’s new 'Hugs' service for deploying AI.
- Hugging Face’s mission and how it is evolving with AI advancements.
- How fine-tuning is helping enterprises improve model performance.
- Gathering community feedback and managing fast-moving developments.
- Staying ahead of rapid AI advancements in the open-source realm.
- How Hugging Face is making it easier to fine-tune models.
- Hugging Face’s support for Retrieval-Augmented Generation (RAG).
- Challenges enterprises face when deploying AI models to production.
- The evolution of AI agents alongside large language models.
- Hugging Face’s integrations with other platforms and AI agents.
- The importance of privacy in running AI models locally.
- Concerns about models overfitting to academic benchmarks.
- Shifting benchmarks toward real-world production performance.
- Jeff’s upcoming session at ODSC West.
- Where to follow Jeff Boudier and Hugging Face.
Show Notes:
- Jeff’s upcoming session at ODSC West, “How to Build Your Own AI with Open Source and Hugging Face”: ⁠https://odsc.com/speakers/how-to-build-your-own-ai-with-open-source-and-hugging-face/⁠
- Jeff’s Twitter/X: ⁠https://x.com/jeffboudier⁠
- LinkedIn: ⁠https://www.linkedin.com/in/jeffboudier/⁠
- HuggingChat: ⁠https://huggingface.co/chat/⁠
- PEFT: State-of-the-art Parameter-Efficient Fine-Tuning: ⁠https://github.com/huggingface/peft⁠
- Hugging Face Spaces: ⁠https://huggingface.co/spaces⁠
- LLM Evaluation Guide: ⁠https://github.com/huggingface/evaluation-guidebook?tab=readme-ov-file⁠
- LoRA: Low-Rank Adaptation of Large Language Models: ⁠https://arxiv.org/abs/2106.09685⁠
- DPO: Direct Preference Optimization: ⁠https://arxiv.org/abs/2305.18290⁠
- Open LLM Leaderboard: ⁠https://huggingface.co/open-llm-leaderboard⁠
- LLM Guardrails: ⁠https://github.com/dottxt-ai/outlines⁠
This episode was sponsored by:  
Ai+ Training ⁠https://aiplus.training/⁠ 
Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering
And created in partnership with ODSC ⁠https://odsc.com/⁠ 
The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps
Never miss an episode, subscribe now!

Getting Hugs, Fine-Tuning, and Avoiding the AI API Dependency Trap with Hugging Face’s Jeff Boudier

Hey there! 👋 You’re tuned into "AI with Shaily," hosted by Shailendra Kumar, your guide to the freshest and most exciting developments in artificial intelligence. Today’s spotlight is on a fascinating innovation shaking up the AI world called Phantom Latent—a clever new approach in vision-language models (VLMs) that’s grabbing attention everywhere, from social media to research labs. 🤖✨

Phantom Latent, developed by ByungKwan Lee and his team, challenges the old idea that bigger AI models are always better. Instead of just scaling up parameters endlessly, this technique smartly expands the latent dimensions temporarily during the self-attention process. This means smaller models—ranging from just 0.5 billion to 7 billion parameters—can perform much better without becoming huge and unwieldy. It’s like giving a smaller AI a secret power boost! ⚡🧠

What makes Phantom Latent truly exciting is its accessibility and community involvement. Anyone interested can try out interactive demos hosted on Hugging Face Spaces, where you can see side-by-side comparisons, “before and after” effects, and even watch these nimble Phantom models go head-to-head against giants like GPT-4V. This hands-on availability has sparked viral content across platforms, including Reddit’s r/MachineLearning, Twitter, TikTok, and YouTube Shorts, where users share memes, tutorials, and debates that break down complex AI concepts into fun, digestible bites. 🎥🔥

A key ingredient behind Phantom Latent’s success is the Phantom Triples Dataset—a curated collection of 2 million samples designed to train vision-language models efficiently. This dataset helps models learn better with less data and less confusion, saving time and computational resources. Shailendra shares a personal insight: when he first tested a smaller Phantom model, he was amazed at how close its performance was to much larger models, proving that clever design beats sheer size. 📊💡

For AI enthusiasts diving into vision-language projects, Shaily recommends exploring the Phantom Triples Dataset for a smarter, more efficient training experience. And if you want to get involved or just marvel at the demos, check out Hugging Face Spaces and GitHub for live models and source code. The conversation is lively on social media, where the question “Can a small VLM beat GPT-4V on vision?” keeps curiosity and excitement alive. 🕵️‍♂️💬

To wrap it up, Shailendra leaves us with a timeless thought from Alan Turing: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” Phantom Latent embodies this spirit, showing that AI progress isn’t just about building bigger machines—it’s about innovating smarter. 🚀🔍

Don’t forget to follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium under “AI with Shaily” to stay updated on the latest AI breakthroughs. Share your thoughts and join the conversation—how do you envision the future of vision-language models? 🤔💬

Until next time, keep your curiosity alive and keep experimenting! This is Shailendra Kumar signing off from AI with Shaily. 👨‍💻🎙️

Phantom Latent: How Small Vision-Language Models Are Outperforming Giants

Welcome to F0r 1nstance podcast—the tech podcast where we spin out   endless supposals about cloud, AI, the edge, and more. We sift through current events, opine about what it means for practitioners and leaders, and interview industry observers about where different technologies are taking us. If you like digging into the story behind the story in tech, this podcast is for you.

©2023 F0r 1nstance 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.

With Ai X Podcast, Open Data Science Conference (ODSC) brings its vast experience in building community and its knowledge of the data science and AI fields to the podcast platform. The interests and challenges of the data science community are wide ranging. To reflect this Ai X Podcast will offer a similarly wide range of content, from one-on-one interviews with leading experts, to career talks, to educational interviews, to profiles of AI Startup Founders. Join us every two weeks to discover what’s going on in the data science community.

Find more ODSC lightning interviews, webinars, live trainings, certifications, bootcamps here - https://aiplus.training/  
Don't miss out on this exciting opportunity to expand your knowledge and stay ahead of the curve.

New tracks tagged #huggingface