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Subject-Driven Image Evaluation Gets Simpler: Google Researchers Introduce REFVNLI to Jointly Score Textual Alignment and Subject Consistency Without ...
From ELIZA to Conversation Modeling: Evolution of Conversational AI Systems and Paradigms
JetBrains Open Sources Mellum: A Developer-Centric Language Model for Code-Related Tasks
Meta and Booz Allen Deploy Space Llama: Open-Source AI Heads to the ISS for Onboard Decision-Making
Training LLM Agents Just Got More Stable: Researchers Introduce StarPO-S and RAGEN to Tackle Multi-Turn Reasoning and Collapse in Reinforcement Learni...
Xiaomi introduced MiMo-7B: A Compact Language Model that Outperforms Larger Models in Mathematical and Code Reasoning through Rigorous Pre-Training an...
Building a REACT-Style Agent Using Fireworks AI with LangChain that Fetches Data, Generates BigQuery SQL, and Maintains Conversational Memory
Building the Internet of Agents: A Technical Dive into AI Agent Protocols and Their Role in Scalable Intelligence Systems
DeepSeek-AI Released DeepSeek-Prover-V2: An Open-Source Large Language Model Designed for Formal Theorem, Proving through Subgoal Decomposition and Re...
Salesforce AI Research Introduces New Benchmarks, Guardrails, and Model Architectures to Advance Trustworthy and Capable AI Agents
Meta AI Introduces First Version of Its Llama 4-Powered AI App: A Standalone AI Assistant to Rival ChatGPT
Microsoft AI Released Phi-4-Reasoning: A 14B Parameter Open-Weight Reasoning Model that Achieves Strong Performance on Complex Reasoning Tasks
Meta AI Introduces ReasonIR-8B: A Reasoning-Focused Retriever Optimized for Efficiency and RAG Performance
A Step-by-Step Coding Guide to Integrate Dappier AI’s Real-Time Search and Recommendation Tools with OpenAI’s Chat API
Multimodal AI on Developer GPUs: Alibaba Releases Qwen2.5-Omni-3B with 50% Lower VRAM Usage and Nearly-7B Model Performance
Mem0: A Scalable Memory Architecture Enabling Persistent, Structured Recall for Long-Term AI Conversations Across Sessions
Exploring the Sparse Frontier: How Researchers from Edinburgh, Cohere, and Meta Are Rethinking Attention Mechanisms for Long-Context LLMs
Diagnosing and Self- Correcting LLM Agent Failures: A Technical Deep Dive into τ-Bench Findings with Atla’s EvalToolbox
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