JuicyTalkCache-to-Cache(C2C): Direct Semantic Communication Between Large Language Models via KV-Cache Fusion
Can large language models collaborate without sending a single token of text? a team of researchers from Tsinghua University, Infinigence AI, The Chinese University of Hong Kong, Shanghai AI Laboratory,…
How to Build Supervised AI Models When You Don’t Have Annotated Data
One of the biggest challenges in real-world machine learning is that supervised models require labeled data—yet in many practical scenarios, the data you start with is almost always unlabeled. Manually…
Anyscale and NovaSky Team Releases SkyRL tx v0.1.0: Bringing Tinker Compatible Reinforcement Learning RL Engine To Local GPU Clusters
How can AI teams run Tinker style reinforcement learning on large language models using their own infrastructure with a single unified engine? Anyscale and NovaSky (UC Berkeley) Team releases SkyRL…
How to Design a Persistent Memory and Personalized Agentic AI System with Decay and Self-Evaluation?
In this tutorial, we explore how to build an intelligent agent that remembers, learns, and adapts to us over time. We implement a Persistent Memory & Personalisation system using simple,…
How to Create AI-ready APIs?
Postman recently released a comprehensive checklist and developer guide for building AI-ready APIs, highlighting a simple truth: even the most powerful AI models are only as good as the data…
LongCat-Flash-Omni: A SOTA Open-Source Omni-Modal Model with 560B Parameters with 27B activated, Excelling at Real-Time Audio-Visual Interaction
How do you design a single model that can listen, see, read and respond in real time across text, image, video and audio without losing the efficiency? Meituan’s LongCat team…
Comparing the Top 6 OCR (Optical Character Recognition) Models/Systems in 2025
Optical character recognition has moved from plain text extraction to document intelligence. Modern systems must read scanned and digital PDFs in one pass, preserve layout, detect tables, extract key value…
A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks
In this tutorial, we develop a comprehensive benchmarking framework to evaluate various types of agentic AI systems on real-world enterprise software tasks. We design a suite of diverse challenges, from…
DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process
Most agent frameworks still run a predefined Reason, Act, Observe loop, so the agent can only use the tools that are injected in the prompt. This works for small tasks,…
Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled Layers
How do you tell whether a model is actually noticing its own internal state instead of just repeating what training data said about thinking? In a latest Anthropic’s research study…
Wonder Man Brings Ziggy Pig Back Into Marvel Lore After 84 Years
JuicyTalk- April 3, 2026
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