Llm AI News & Research · DeepTrendLab

Codex is gaining steam

but I wish it had this

Implementing Statistical Guardrails for Non-Deterministic Agents

Non-deterministic agents are those where the same input can lead to distinct outputs across multiple runs.

Top 10 Open-Source Libraries to Fine-Tune LLMs Locally

Fine-tuning LLMs has become much easier because of open-source tools. You no longer need to build the full training stack from scratch. Whether you want low-VRAM training, LoRA, QLoRA, RLHF,…

Mistral Adds Remote Agents and Work Mode to Le Chat

Mistral has released Mistral Medium 3.5, a 128-billion parameter model designed to handle instruction following, reasoning, and coding within a single system, and introduced new cloud-based agent capabilities in its…

GPT-5.5 Instant System Card

GPT-5.5 Instant: smarter, clearer, and more personalized

GPT-5.5 Instant updates ChatGPT’s default model with smarter, more accurate answers, reduced hallucinations, and improved personalization controls.

Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing

Serving transformer language models with high throughput requires caching Key-Values (KVs) to avoid redundant computation during autoregressive generation. The memory footprint of KV caching is significant and heavily impacts serving…

Single Agent vs Multi-Agent: When to Build a Multi-Agent System

A practical guide to understanding AI agent design, ReAct workflows, and when to scale from a single agent to a multi-agent system. The post Single Agent vs Multi-Agent: When to…

How to Build an Efficient Knowledge Base for AI Models

Building a knowledge base for AI models isn’t a one-time task but an iterative process of refinement. The post How to Build an Efficient Knowledge Base for AI Models appeared…

Agent-guided workflows to accelerate model customization in Amazon SageMaker AI

Amazon SageMaker AI now offers an agentic experience that changes this. Developers describe their use case using natural language, and the AI coding agent streamlines the entire journey, from use…

Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick

In this post, you learn how to get started with Dataset Q&A, explore real-world use cases with hands-on examples, and discover advanced capabilities like auto-discovery across all your data assets…

Agentic RAG Explained in 3 Levels of Difficulty

Traditional

LangGraph Multi-Agent Architecture: Building a Self-Critiquing AI Debate System

Last Updated on May 4, 2026 by Editorial Team Author(s): Rishav Saigal Originally published on Towards AI. A technical deep-dive into the LangGraph state machine, Pydantic-driven routing, and Critique Agent…

LWiAI Podcast #243 - GPT 5.5, DeepSeek V4, AI safety sabotage

Our 243rd episode with a summary and discussion of last week’s big AI news!

I Ran This Open-Source AI Tool on a Messy Codebase and Got 71x Fewer Tokens — Here Is Exactly What Happened

Last Updated on May 4, 2026 by Editorial Team Author(s): Muhammad Hassan Ali Originally published on Towards AI. I Ran This Open-Source AI Tool on a Messy Codebase and Got…

Month in 4 Papers (April 2026)

Last Updated on May 4, 2026 by Editorial Team Author(s): Ala Falaki, PhD Originally published on Towards AI. Month in 4 Papers (April 2026) This series of posts is designed…

PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning

Multi-tool-integrated reasoning enables LLM-empowered tool-use agents to solve complex tasks by interleaving natural-language reasoning with calls to external tools. However, training such agents using outcome-only rewards suffers from credit-assignment ambiguity,…

AI Kept Forgetting My Notes. Fixing That Taught Me How It Actually Works.

Last Updated on May 4, 2026 by Editorial Team Author(s): Varshith Tipirneni Originally published on Towards AI. THE PROBLEM Three weeks into learning machine learning, I ran into a problem.…

Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill

Why reasoning models dramatically increase token usage, latency, and infrastructure costs in production systems The post Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill appeared first on…

How ChatGPT Makes You Addicted

Last Updated on May 4, 2026 by Editorial Team Author(s): Felix Pappe Originally published on Towards AI. The downward spiral of relying on AI Agents Chatbots have taken the world…

Cloudflare Builds High-Performance Infrastructure for Running LLMs

Cloudflare has recently announced new infrastructure designed to run large AI language models across its global network. As these models rely on costly hardware and must handle large volumes of…

15+ Solved Agentic AI Projects with Github Links

Projects are the bridge between understanding AI and actually building with it. While the last couple of years were dominated by generative models, the shift now is toward systems that…

How People are Figuring Out Life With Claude

AI chatbots are the new norm. What earlier was “ask Google” has now largely become “ask Claude”. And that is not just a change of platforms. The new form of…

Meta Deploys Unified AI Agents to Automate Performance Optimization at Hyperscale

Meta has unveiled a new AI-driven capacity efficiency platform that uses unified AI agents to automatically detect and resolve performance issues across its global infrastructure, marking a significant step toward…