Lewis Tunstall’s Post

How do you fine-tune LLMs? What is the difference between DPO and KTO? What is topological machine learning? What are the pros and cons of open source vs closed source LLMs? I just released my conversation with Lewis Tunstall, LLM Engineer and Researcher at Hugging Face, on the AI Stories Podcast 🚀 Lewis also wrote a book on Natural Language Processing with transformers. Here are the key topics that we discussed:  ➡️ DPO, KTO and LLM alignment ➡️ Encoder and Decoder transformer architectures ➡️ The importance of open source LLMs ➡️ Hugging Face 🤗 ➡️ Topological machine learning and the Giotto-tda library And much more ... What are you waiting for? Go and listen to our conversation on your favourite platforms: Youtube: https://lnkd.in/ecCPJnpH Spotify: https://lnkd.in/etZhBM2C Apple Podcast: https://lnkd.in/erN5-qZk According to you, what are the key components required to fine-tune LLMs successfully? Let me know your thoughts in the comments! #datascientist #llms #machinelearning

a simple prompt to steal openai's computational resources.

Discover Real-Time Open-Vocabulary Object Detection with YOLO World! Attention AI enthusiasts and computer vision enthusiasts! Dive into our latest tutorial: "How to Real-Time Open-Vocabulary Object Detection with YOLO World"! Watch Now: https://lnkd.in/dk_BAn9G... Ready to explore the cutting-edge world of open-vocabulary object detection? In this comprehensive tutorial, we'll walk you through the step-by-step process of implementing real-time object detection with YOLO World. Unlock the potential of open-vocabulary object detection and revolutionize your AI projects with this essential guide! What's Inside: Introduction to Open-Vocabulary Object Detection Setting Up YOLO World for Real-Time Detection Implementing Object Detection with YOLO World and Python Enhancing Object Detection Accuracy and Performance Real-World Applications and Use Cases Ready to embark on the journey of open-vocabulary object detection? Click the link above to delve into the tutorial now! Don't forget to like, subscribe, and share with your fellow AI enthusiasts for more insightful tutorials. Share this post with your network, and let's push the boundaries of open-vocabulary object detection together! #YOLOWorld #ObjectDetection #RealTimeDetection #ComputerVision #AIDevelopment

I have just made a video. How do humans solve the Abstraction & Reasoning Corpus puzzles. They do it in different ways. https://lnkd.in/dPV5PB3q #puzzle #maze

Part 5: The Secrets of Fractions: Numerator, Denominator, and a Part of a Whole Fractions are all around us, even in the simplest of things! 🎨 Imagine a set of 6 circles. If 2 of them are blue, then the fraction representing the blue circles is two sixths. It's a fun way to see how fractions can be represented in everyday objects and sets. 🌈 Stay tuned as we continue to find fractions in the world around us and make math relatable! 🌟 #MathMagic #EverydayFractions #RealWorldMath #STEAMspirations #MathInObjects

Had a great start of the week in Berlin at #OpenSearchCon 2024. The videos, including those of the Zeta Alpha's talks on LLM Evaluation with RAGElo and on fine-tuning embeddings for vector search are online now. Fine-tuning embeddings 4 vector search (Jakub Zavrel): Using open source embeddings like e5 and fine-tuning them on in domain synthetic data yields significant improvements over out of the box one-size-fits all embeddings from OpenAI or other vendors. https://lnkd.in/gBT7UHMH RAGElo: An Elo Rating-based Evaluation Toolkit for RAG (Jakub Zavrel & Fernando Rejon Barrera) Using LLMs as a judge is the key to driving quality of RAG applications forward while keeping your domain experts happy. https://lnkd.in/gPMjzTup Challenges in moving Gen AI apps to production (Fernando Rejon Barrera) Interactive session on the multifaceted mine-field of developing and deploying generative AI applications in a way that is both technically sound and aligned with business and safety requirements. https://lnkd.in/gfw4b9TD

Unlock Real-Time Open-Vocabulary Object Detection with YOLO World! Dive into our latest video tutorial: "How to Real-Time Open-Vocabulary Object Detection with YOLO World"! Watch Now: https://lnkd.in/dk_BAn9G... In this comprehensive guide, we'll take you through the innovative process of implementing open-vocabulary object detection in real-time using YOLO World. Perfect for those looking to enhance their computer vision projects with cutting-edge technology. What You'll Learn: Introduction to Open-Vocabulary Object Detection Setting Up YOLO World for Real-Time Applications Implementing Open-Vocabulary Detection Tips for Optimizing Performance Real-World Use Cases and Applications Boost your computer vision capabilities and stay ahead in the field! Click the link above to start watching now! Don't forget to like, subscribe, and share with your fellow enthusiasts for more insightful tutorials! Share this video with your network and let's advance the future of object detection together! #YOLOWorld #OpenVocabulary #ObjectDetection #ComputerVision #MachineLearning #AI #Python #DataScience #pyresearch

Exploring Collatz-Like Functions: The Power of 3n – 1

Gentle Introduction To Chaotic Dynamical Systems