Building a RAG API with FastAPI

Building a RAG API with FastAPI

Are you building GenAI programs and want to use them, or want to learn more about FastAPI? Then this is exactly what you’ve been looking for! Imagine you have a lot of PDF reports and you want to search for some answers in them. Either you can spend hours scrolling, or you can build a … Read more

FireRedTeam Releases FireRed-OCR-2B Using GRPO to Solve Layout Design in Tables and LaTeX for Software Developers

FireRedTeam Releases FireRed-OCR-2B Using GRPO to Solve Layout Design in Tables and LaTeX for Software Developers

Document digitization has long been a multi-stage problem: first find the structure, then extract the text, and finally try to reconstruct the structure. In Large-Scale Visual Language Models (LVLMs), this often leads to ‘structure bias’—unstructured lines, invented formulas, or non-closed syntax. FireRedTeam is out FireRed-OCR-2Ban advanced model designed to treat document analysis as a structural … Read more

Free Image Generator Prices, Capabilities, and Feature Breakdowns

Free Image Generator Prices, Capabilities, and Feature Breakdowns

Uncensy Image Generator is an AI-powered image generator designed for untested creative work, allowing users to explore visual concepts without the strict limitations often imposed by traditional platforms. ⚡️ FAVORITE PICTURE GENERATORS ⚡️ Candy AI Try Candy AI Unfiltered AI imagesReal GirlsNSFW discussion My Dream Companion Try MyDreamCompanion Spicy AI ChattingHigh Quality Image ProductionBuild the … Read more

Google AI Launches STATIC: Sparse Matrix Framework Delivers 948x Compulsory Code Extraction Based on LLM for Productivity

Google AI Launches STATIC: Sparse Matrix Framework Delivers 948x Compulsory Code Extraction Based on LLM for Productivity

In industrial recommendation systems, switching to him Productive Return (GR) it replaces neighbor embedding-based nearest search using Large-scale Language Models (LLMs). These models represent things like Semantic IDs (SIDs)-a sequence of various tokens-and treat retrieval as an automatic record function. However, industrial applications often require strict adherence to business logic, such as enforcing content innovation … Read more

How to Design a Multi-Agent Communication System for Manufacturing Using a LangGraph-Based Message Bus, ACP Logging, and Persistent Shared Circuit Architectures

How to Design a Multi-Agent Communication System for Manufacturing Using a LangGraph-Based Message Bus, ACP Logging, and Persistent Shared Circuit Architectures

In this tutorial, we build an advanced multi-agent communication system using a message bus architecture based on LangGraph and Pydantic. We describe a robust ACP-style message schema that allows agents to communicate via a shared state instead of calling each other directly, allowing for modularity, traceability, and production-grade orchestration. We use three specialized agents, the … Read more

Alibaba Team Open-Sources CoPaw: A High-Performance Human Agent Workspace for Developers to Scale Multi-Channel AI Workflows and Memory

Alibaba Team Open-Sources CoPaw: A High-Performance Human Agent Workspace for Developers to Scale Multi-Channel AI Workflows and Memory

As the industry moves from the simple concept of the Large Language Model (LLM) to autonomous agent systems, the challenge for devs has changed. It’s not just a model anymore; it’s about the place where that model works. A research team from Alibaba has been released CoPawis an open source framework designed to address this … Read more

MiraiMind Chatbot App Access, Cost, and Feature Details

MiraiMind Chatbot App Access, Cost, and Feature Details

MiraiMind offers a balanced environment where freedom of conversation is matched with intuitive design. The program is aimed at users who want an AI that does more than provide answers and instead responds and evolves in response to ongoing interactions. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered Chat with AI GirlsPictures and … Read more

Google DeepMind Introduces Unified Latencies (UL): A Machine Learning Framework That Co-Controls Latencies Using Diffusion Forwards and Decoders

Google DeepMind Introduces Unified Latencies (UL): A Machine Learning Framework That Co-Controls Latencies Using Diffusion Forwards and Decoders

The current trajectory of Generative AI depends heavily on it Latent Distribution Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a low-dimensional latent space, models can be scaled effectively. However, a fundamental trade-off persists: low information density makes hidden objects easier to read but sacrifices reconstruction quality, while high … Read more

Coding Implementation to Build an AI Agent for a Hierarchical Planner Using Open Source LLMs Using Multi-Agent Tools and Reasoning

Coding Implementation to Build an AI Agent for a Hierarchical Planner Using Open Source LLMs Using Multi-Agent Tools and Reasoning

def executor_agent(step: Dict[str, Any], context: Dict[str, Any]) -> StepResult: step_id = int(step.get(“id”, 0)) title = step.get(“title”, f”Step {step_id}”) tool = step.get(“tool”, “llm”) ctx_compact = { “goal”: context.get(“goal”), “assumptions”: context.get(“assumptions”, []), “prior_results”: [ {“step_id”: r.step_id, “title”: r.title, “tool”: r.tool, “output”: r.output[:1500]} for r in context.get(“results”, []) ], } if tool == “python”: code = llm_chat( EXECUTOR_SYSTEM, … Read more