Meta’s Post

Comprehensive Guide to LLM Quantization 🧑🏫 If you’re building with open-source LLMs, you’ll want to do quantization 💾 ⚡️ - get way lower latency/consumption with very little accuracy tradeoffs This reference guide by Wenqi Glantz teaches you how to quantize Mistral AI 7B Instruct (Maxime Labonne) with GGUF + llama.cpp (Georgi Gerganov), AND also how to evaluate your quantized model in LlamaIndex to ensure no accuracy loss for your RAG pipeline. Check it out: https://lnkd.in/gxBhNVdw 

Using #quantization, the sizes of #GenAI models can significantly be reduced. This way they are edge-ready and usable for remote/offline deployments.

Recent trends in language model development favor smaller, yet more sophisticated designs. Mistral's approach exemplifies this, employing a multi-agent system that capitalizes on the expertise of individual agents. Despite its smaller size, it demonstrates superior performance and agility compared to larger LLMs, showcasing the effectiveness of leveraging specialized knowledge within a streamlined architecture. #AI #MachineLearning #LLM #LanguageModels #AIResearch #Mistral

Completed this. Good course with nice examples and code.

LAST CHANCE to Join us for this FREE Webinar by Plan Academy and ALICE Technologies Inc. to learn how to de-risk and optimize your P6 schedule with ALICE Core. https://hubs.ly/Q02MLm5C0 We will explain the benefits and limitations of AI for scheduling and highlight the importance of having a human in the driver's seat. You will learn how to import your P6 schedule to evaluate its feasibility; optimize your critical path by automating the exploration of schedule simulations to pressure test your plan; and understand where are the biggest delay risks and what changes in resourcing or sequence will yield the biggest savings.

I-JEPA: The first AI model based on Yann LeCun’s vision for more human-like AI Celebrating 10 years of FAIR: A decade of advancing the state-of-the-art through open research Turing Award presented to Yann LeCun, Geoffrey Hinton, and Yoshua Bengio Today, we’re publicly releasing the Video Joint Embedding Predictive Architecture (V-JEPA) model, a crucial step in advancing machine intelligence with a more grounded understanding of the world. This early example of a physical world model excels at detecting and understanding highly detailed interactions between objects. In the spirit of responsible open science, we’re releasing this model under a Creative Commons NonCommercial license for researchers to further explore." https://lnkd.in/d8tqWx7d.

Revolutionize Your Vision with AGImageAI 👁️🗨️ Imagine a world where your visual data becomes a source of untapped insights. AGImageAI, our revolutionary image analysis tool, propels your organization into the future. Harness the power of cutting-edge computer vision and deep learning to transform everything from quality control to security, and step through the gateway to transcendent perception. 🔍

We sent the Altitude OS, our industrial AI platform, back to school! ✏ Our Spatial LLM * Wrote the perception pipeline to find the whiteboard * Sent the writing on the board to a multimodal LLM * Wrote the action commands to pen the solution More at http://AltitudeAI.ai

Exciting news! Meta released the Video Joint Embedding Predictive Architecture (V-JEPA) model, a crucial step in advancing machine intelligence with a more grounded understanding of the world. This new architecture for self-supervised learning is an early example of a physical world model that excels at detecting and understanding highly detailed interactions between objects. #AI #machinelearning #opensource #research

🚀 Dive into the Best practices of AI Annotation! 🚀 Missed our groundbreaking AI Annotation Event? Don't worry, we've got you covered! Explore the transformative insights shared by industry experts Tess and Otto from Segments.ai (YC W21) as they unravel the complexities of Generative AI, collaboration, and ethical considerations in data annotation. From debunking myths to navigating challenges, we've covered it all. Join the conversation and gain valuable insights into the future of AI annotation and its impact on development processes. Stay tuned for more updates and be part of the journey towards a smarter, more connected future! Watch the webinar here: https://lnkd.in/deVqRn5i #AIAnnotation #FutureTech #Collaboration #EthicalAI 🌐✨