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

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src="https://s3.castbox.fm/db/6d/b5/3217ba43239f005d54b3edf6a5.jpg" class="cover" alt="Getting Hugs, Fine-Tuning, and Avoiding the AI API Dependency Trap with Hugging Face’s Jeff Boudier" title="Getting Hugs, Fine-Tuning, and Avoiding the AI API Dependency Trap with Hugging Face’s Jeff Boudier"/></div></div><div class="trackinfo-titleBox"><h1 title="Getting Hugs, Fine-Tuning, and Avoiding the AI API Dependency Trap with Hugging Face’s Jeff Boudier" class="trackinfo-title"><div id="box-pro-ellipsis-173236040747888" class="box-ellipsis box-ellipsis-lineClamp"><style>#box-pro-ellipsis-173236040747888{-webkit-line-clamp:2;}</style><span>Getting Hugs, Fine-Tuning, and Avoiding the AI API Dependency Trap with Hugging Face’s Jeff Boudier</span></div></h1><div class="trackinfo-con-des"><span class="item">Update: <!-- -->2024-10-16</span><span class="item"></span></div><div class="trackinfo-ctrls"><div class="player_play_btn pause loading " style="display:inline-block;cursor:pointer;margin-right:20px"></div><span><div class="sharePageBtn">Share</div></span></div></div><div class="trackinfo-des-title-wrapper"><p class="trackinfo-des-title ">Description</p></div><div class="trackinfo-des"><span class="box-ellipsis"><div><p>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.</p><p>Jeff Boudier is the Head of Product at Hugging Face, the #1 open platform for AI builders.</p><p>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.</p><p>Show Questions:</p><p>- Details about Hugging Face’s new 'Hugs' service for deploying AI.</p><p>- Hugging Face’s mission and how it is evolving with AI advancements.</p><p>- How fine-tuning is helping enterprises improve model performance.</p><p>- Gathering community feedback and managing fast-moving developments.</p><p>- Staying ahead of rapid AI advancements in the open-source realm.</p><p>- How Hugging Face is making it easier to fine-tune models.</p><p>- Hugging Face’s support for Retrieval-Augmented Generation (RAG).</p><p>- Challenges enterprises face when deploying AI models to production.</p><p>- The evolution of AI agents alongside large language models.</p><p>- Hugging Face’s integrations with other platforms and AI agents.</p><p>- The importance of privacy in running AI models locally.</p><p>- Concerns about models overfitting to academic benchmarks.</p><p>- Shifting benchmarks toward real-world production performance.</p><p>- Jeff’s upcoming session at ODSC West.</p><p>- Where to follow Jeff Boudier and Hugging Face.</p><p>Show Notes:</p><p>- Jeff’s upcoming session at ODSC West, “How to Build Your Own AI with Open Source and Hugging Face”: <a rel="nofollow"href="https://odsc.com/speakers/how-to-build-your-own-ai-with-open-source-and-hugging-face/" target="_blank">⁠https://odsc.com/speakers/how-to-build-your-own-ai-with-open-source-and-hugging-face/⁠</a></p><p>- Jeff’s Twitter/X: <a rel="nofollow"href="https://x.com/jeffboudier" target="_blank">⁠https://x.com/jeffboudier⁠</a></p><p>- LinkedIn: <a rel="nofollow"href="https://www.linkedin.com/in/jeffboudier/" target="_blank">⁠https://www.linkedin.com/in/jeffboudier/⁠</a></p><p>- HuggingChat: <a rel="nofollow"href="https://huggingface.co/chat/" target="_blank">⁠https://huggingface.co/chat/⁠</a></p><p>- PEFT: State-of-the-art Parameter-Efficient Fine-Tuning: <a rel="nofollow"href="https://github.com/huggingface/peft" target="_blank">⁠https://github.com/huggingface/peft⁠</a></p><p>- Hugging Face Spaces: <a rel="nofollow"href="https://huggingface.co/spaces" target="_blank">⁠https://huggingface.co/spaces⁠</a></p><p>- LLM Evaluation Guide: <a rel="nofollow"href="https://github.com/huggingface/evaluation-guidebook?tab=readme-ov-file" target="_blank">⁠https://github.com/huggingface/evaluation-guidebook?tab=readme-ov-file⁠</a></p><p>- LoRA: Low-Rank Adaptation of Large Language Models: <a rel="nofollow"href="https://arxiv.org/abs/2106.09685" target="_blank">⁠https://arxiv.org/abs/2106.09685⁠</a></p><p>- DPO: Direct Preference Optimization: <a rel="nofollow"href="https://arxiv.org/abs/2305.18290" target="_blank">⁠https://arxiv.org/abs/2305.18290⁠</a></p><p>- Open LLM Leaderboard: <a rel="nofollow"href="https://huggingface.co/open-llm-leaderboard" target="_blank">⁠https://huggingface.co/open-llm-leaderboard⁠</a></p><p>- LLM Guardrails: <a rel="nofollow"href="https://github.com/dottxt-ai/outlines" target="_blank">⁠https://github.com/dottxt-ai/outlines⁠</a></p><p><strong>This episode was sponsored by:  </strong></p><p><strong>Ai+ Training</strong><em> </em><a rel="nofollow"href="https://aiplus.training/" target="_blank">⁠<em>https://aiplus.training/</em>⁠</a><em> </em></p><p><em>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</em></p><p><strong>And created in partnership with ODSC </strong><a rel="nofollow"href="https://odsc.com/" target="_blank">⁠<strong>https://odsc.com/</strong>⁠</a><strong> </strong></p><p><em>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</em></p><p>Never miss an episode, subscribe now!</p></div></span></div><div class="seeMorebtn seeMorebtn_up"><img class="img" 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