🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

I-JEPA: Efficient method for Self-Supervised Learning of image features. No need for data augmentation, just masking. Joint embedding predictive architecture, not generative. And it's open source, of course. Blog: ai.facebook.com/blog/yann-lecu… Paper: arxiv.org/abs/2301.08243 Code &

if you missed those 2 comprehensive hours tour by Chris Fregly and Antje Barth on #GenAI and #LLMs with #sagemaker. It includes #LoRA, fine tuning and #RLHF of the FLAN-T5 model available in Hugging Face youtube.com/watch?v=fLPNMl…

I'm beyond excited to share what I've been working on for the last couple of months: Generative AI with Large Language Models — New Hands-on Course by DeepLearning.AI and Amazon Web Services aws.amazon.com/blogs/aws/gene…

Great, hands-on LLM class from Andrew Ng on Coursera and AWS. deeplearning.ai/courses/genera…

A few words on taking notes - #allthingsdistributed allthingsdistributed.com/2023/06/a-few-…

New Stanford paper on working from home stanford.io/3JHqfrQ Some key points: 1) WFH is up 500% since 2019 2) Fully-remote is much cheaper, but can lower productivity 3) Hybrid improves retention, with no productivity loss 4) WFH will keep growing as technology improves

Playing with #huggingface #opensource #Falcon40B and starcoder #genai models on #aws #sagemakerjumpstart very promising results on intent for #5G configuration generation ! Next step- contextualize with #RAG (Retrieval Augmented Generation) and vector databases to ensure

LLaMA 2 released! 🚨🔔 Meta just released LLaMa 2 the next iteration of LLaMA with a commercial-friendly license.🤯😍 LLaMA 2 comes in 3 different sizes, 7B, 13B, and 70B. The 7B & 13B use the same architecture as LLaMA 1 and are a 1-to-1 replacement for commercial use🔥 🧵1/4

Llama-2 is available on AWS through Amazon SageMaker JumpStart. aws.amazon.com/blogs/machine-…

Preview – Enable Foundation Models to Complete Tasks With Agents for Amazon Bedrock aws.amazon.com/blogs/aws/prev… via Amazon Web Services

A must read. Darij Grinberg just uploaded one of the best notes on Graph Theory directly to ArXiv. Graph ML and graph theory was always an obscure topic for me. The 422 pages book is based on the Math 530 course at Drexel University. arxiv.org/abs/2308.04512

The 2013-2018 wave of "we'll reach AGI in a few years by training RL models in game environments" had the wrong tools (deep RL), but it had the right idea (embodied agents learning to achieve goals via trial and error). We'll have to go back there on the way to AGI.

I am very excited about the Anthropic safe and steerable AI models being trained on #AWS Trainium and run on AWS Inferentia chip sets. Their Claude model is already available through Amazon Bedrock. anthropic.com/index/anthropi…

This week I am in Ireland, ready to connect and learn about innovation in vibrant local and tech communities. Amazon's Gusta Gaoithe wind farm, recently named by local students, is just one of the inspiring projects underway here. Stay tuned for more! #AWS aboutamazon.com/news/sustainab…

Amazon Bedrock Is Now Generally Available – Build and Scale Generative AI Applications with Foundation Models aws.amazon.com/blogs/aws/amaz… via Amazon Web Services

Roaming in the beautiful Richmond park and following the deer 🦌 - A moment of meditation and «zenitude »

A Comprehensive Survey of Advanced RAG 📖 If you’re looking for a one-stop shop for advanced RAG concepts, look no further 💫 IVAN ILIN details all the key concepts in this blog post 📚, and each section highlights LlamaIndex 🦙 resources/guides that you can check out. Here

We will demo ‘Network Genius’ with Amazon Web Services at #MWC2024 next week in Barcelona. It’s a graph ‘digital twin’ representation of the Orange network running on AWS Neptune with hard-core, AI based root cause analysis. Built by my team, my brilliant peer Orange CTO Laurent Leboucher’s

Unleashing the power of Graphs: operating 5G networks with GNN and generative AI on AWS aws.amazon.com/blogs/industri… via Amazon Web Services

New Anthropic research: Persona vectors. Language models sometimes go haywire and slip into weird and unsettling personas. Why? In a new paper, we find “persona vectors"—neural activity patterns controlling traits like evil, sycophancy, or hallucination.