Agents: All You Need-AYNA
Your guide to the evolving world of LLMs and AI agents
AI News:
Lightweight and multimodal Llama models- Key highlights include:
- 1B & 3B Models: These text-only models support 128K token context lengths and excel in tasks like summarization and rewriting on Qualcomm, MediaTek, and Arm-based hardware.
- Vision Models (11B & 90B): Superior image understanding capabilities and seamless integration as drop-in replacements for text models. They can be fine-tuned with torchtune and deployed locally using torchchat.
- Llama Stack Distributions: Simplifies multi-environment deployments (on-prem, cloud, and edge) with turnkey support for retrieval-augmented generation (RAG) and safety features. Partners include AWS, Databricks, Dell, and more.
Introducing Structured Outputs in the API in OpenAI Models
OpenAI introduced Structured Outputs in the APIโmodel outputs now reliably adhere to developer-supplied JSON Schemas.
A must for students and practicing engineers pursuing AI - Discrete Math
You are free to download, use, and print as you wish to, for noncommercial purposes.
Discrete Mathematics Book - An Open Introduction, 4th edition
๐๐๐ง๐ญ๐ข๐ฆ๐๐ง๐ญ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐จ๐ ๐๐ฒ๐๐๐ซ๐๐ฎ๐ฅ๐ฅ๐ฒ๐ข๐ง๐ ๐๐๐ญ๐ ๐ข๐ง ๐๐จ๐๐ข๐๐ฅ ๐๐๐๐ข๐
Analyzing cyberbullying on social media platformsโa growing and serious issue in todayโs digital world. With social media deeply embedded in our daily lives, unfortunately, cyberbullying has also surged, causing real harm to individuals across the globe. Here is a Solution.
Prompt Engineering
Improve your Prompting skill through new prompt engineering features in Console
Survey of AI agents:
Understanding the AI agents landscape.
RAGCache: Efficient Caching for Retrieval-Augmented Generation
RAGCache is a novel dynamic caching system designed to optimize Retrieval-Augmented Generation (RAG) by addressing performance bottlenecks like long sequence generation and high computational costs. It organizes retrieved knowledge into a knowledge tree and caches intermediate states efficiently, using a replacement policy tailored to LLM inference and retrieval patterns. Experimental results demonstrate that RAGCache significantly reduces latency and enhances throughput compared to existing systems.
Adding payments to your LLM Agentic workflows - A blog by Stripe
LLMs can be used to create a broad spectrum of automations. These automations can translate prompts into sequences of programmatic actions to interact with other systems. These agents are built using new frameworks that blend prompting and function calling.
Understanding the AI agents landscape-The AI agents stack
The agent stack is still extremely early. Hosting agents or building agents is quite new, you can checkout the Letta OSS project
Codeium launches new agentic-powered code editor - Windsurf Editor
Grok unlock: xAI plans free version
Social network X has so far limited its AI chatbot Grok to its premium, paying users. However, the platform is seemingly preparing to open up the chatbot to free users.
Microsoftโs WindowsAgentArena:
is an open-source framework to test and develop AI agents that can reason, plan, and act on a PC using language models.