Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://
bit.ly/3YL821l #AI #DeepLearning #MachineLearning #DataScience
LLMS
-
Self-Attention Mechanism in Large Language Models: Complete Guide
By
–
-
Cerebras Wafer-Scale Cluster Simplifies LLM Training
By
–
Large language models are extremely challenging to train. Our latest blog discusses how the Cerebras Wafer-Scale Cluster eliminates the need for huge compute budgets and complex distributed compute techniques. Read how we train models with a few clicks: https://
hubs.li/Q01R433-0 -
Azure AI Studio Expands Model Access Through HuggingFace and OpenAI
By
–
The model catalog allows developers using Azure AI studio to tap models through now both HF and OpenAI, along with other OSS models. HF is also basically the home of every niche and long tail OSS model that you can imagine.
-
Microsoft Integrates Hugging Face Hub in AI Model Deployment Tools
By
–
Yesterday at Build, Microsoft unveiled a suite of tools for developers around deploying AI models. One that might have flown under the radar was a direct integration with the Hugging Face hub right in the middle of its new model catalog
-
Groq Spotlight: Large Language Models Inference Discussion
By
–
We had a blast at our booth at ISC. If you missed us, you can catch us tomorrow at our GroqSpotlight: Quenching AI Thirst with Inference. http://
Groq.link/slllm. We'll be discussing the explosion and longevity of Large Language Models (LLMs). -
Steering GPT-2-XL With Activation Vector Techniques
By
–
Curious to learn more about the activation vectors @amasad is talking about at 25:00? https://
alignmentforum.org/posts/5spBue2z
2tw4JuDCx/steering-gpt-2-xl-by-adding-an-activation-vector
… -
Replit Releases Open-Source LLM with New Training Approach
By
–
Learn more about Replit's own, opensource LLM that @pirroh and @amasad are discussing https://
blog.replit.com/llm-training -
Building LLM Applications for Production Engineering
By
–
Here's @chipro 's blog post "Building LLM applications for production" https://
huyenchip.com/2023/04/11/llm
-engineering.html
… -
Unleashing LLMs in Production: Challenges and Opportunities
By
–
Unleashing LLMs in Production: Challenges and Opportunities with Chip Huyen https://
x.com/i/broadcasts/1
ZkKzXAWNpLJv
… -
Building AI Chatbot with GPT-3.5-turbo in Two Weeks
By
–
4/ @gennarocuofano connected with his developer in two days and had his AI chatbot built in under 2 weeks. The chatbot was built using @OpenAI
's gpt-3.5-turbo API and augmented with features like a rating system, voice activation, and one-click resource recommendations.