AI Agents

Auto Added by WPeMatico

How to Design a Swiss Army Knife Research Agent with Tool-Using AI, Web Search, PDF Analysis, Vision, and Automated Reporting

In this tutorial, we build a “Swiss Army Knife” research agent that goes far beyond simple chat interactions and actively solves multi-step research problems end-to-end. We combine a tool-using agent architecture with live web search, local PDF ingestion, vision-based chart analysis, and automated report generation to demonstrate how modern agents can reason, verify, and produce […]

How to Design a Swiss Army Knife Research Agent with Tool-Using AI, Web Search, PDF Analysis, Vision, and Automated Reporting Read More »

NVIDIA Releases DreamDojo: An Open-Source Robot World Model Trained on 44,711 Hours of Real-World Human Video Data

Building simulators for robots has been a long term challenge. Traditional engines require manual coding of physics and perfect 3D models. NVIDIA is changing this with DreamDojo, a fully open-source, generalizable robot world model. Instead of using a physics engine, DreamDojo ‘dreams’ the results of robot actions directly in pixels. https://arxiv.org/pdf/2602.06949 Scaling Robotics with 44k+

NVIDIA Releases DreamDojo: An Open-Source Robot World Model Trained on 44,711 Hours of Real-World Human Video Data Read More »

Building a Self-Improving AI Support Agent with Langfuse 

Building an LLM prototype is quick. A few lines of Python, a prompt, and it works. But Production is a different game altogether. You start seeing vague answers, hallucinations, latency spikes, and strange failures where the model clearly “knows” something but still gets it wrong. Since everything runs on probabilities, debugging becomes tricky. Why did

Building a Self-Improving AI Support Agent with Langfuse  Read More »

How to Build Transparent AI Agents: Traceable Decision-Making with Audit Trails and Human Gates

In this tutorial, we build a glass-box agentic workflow that makes every decision traceable, auditable, and explicitly governed by human approval. We design the system to log each thought, action, and observation into a tamper-evident audit ledger while enforcing dynamic permissioning for high-risk operations. By combining LangGraph’s interrupt-driven human-in-the-loop control with a hash-chained database, we

How to Build Transparent AI Agents: Traceable Decision-Making with Audit Trails and Human Gates Read More »

Google AI Releases Gemini 3.1 Pro with 1 Million Token Context and 77.1 Percent ARC-AGI-2 Reasoning for AI Agents

Google has officially shifted the Gemini era into high gear with the release of Gemini 3.1 Pro, the first version update in the Gemini 3 series. This release is not just a minor patch; it is a targeted strike at the ‘agentic’ AI market, focusing on reasoning stability, software engineering, and tool-use reliability. For devs,

Google AI Releases Gemini 3.1 Pro with 1 Million Token Context and 77.1 Percent ARC-AGI-2 Reasoning for AI Agents Read More »

3 keys to making the right decisions amid rising complexity

Most organizations encounter various complexities and bottlenecks. Whether it is due to continued economic uncertainty or shifting customer expectations. Much of this is also driven by data and AI, which are reshaping decision-making, including how societies approach labor. Ultimately, what will differentiate organizations is how they use their data and […] The post 3 keys

3 keys to making the right decisions amid rising complexity Read More »

Cohere Releases Tiny Aya: A 3B-Parameter Small Language Model that Supports 70 Languages and Runs Locally Even on a Phone

Cohere AI Labs has released Tiny Aya, a family of small language models (SLMs) that redefines multilingual performance. While many models scale by increasing parameters, Tiny Aya uses a 3.35B-parameter architecture to deliver state-of-the-art translation and generation across 70 languages. The release includes 5 models: Tiny Aya Base (pretrained), Tiny Aya Global (balanced instruction-tuned), and

Cohere Releases Tiny Aya: A 3B-Parameter Small Language Model that Supports 70 Languages and Runs Locally Even on a Phone Read More »

Anthropic Releases Claude 4.6 Sonnet with 1 Million Token Context to Solve Complex Coding and Search for Developers

Anthropic is officially entering its ‘Thinking’ era. Today, the company announced Claude 4.6 Sonnet, a model designed to transform how devs and data scientists handle complex logic. Alongside this release comes Improved Web Search with Dynamic Filtering, a feature that uses internal code execution to verify facts in real-time. https://www.anthropic.com/news/claude-sonnet-4-6 Adaptive Thinking: A New Logic

Anthropic Releases Claude 4.6 Sonnet with 1 Million Token Context to Solve Complex Coding and Search for Developers Read More »

A New Frontier for AI Agents: Human Interaction

As AI agents act autonomously in public spaces, recent incidents highlight the urgent need for strong guardrails, ethical alignment, and human judgment to ensure AI augments society rather than undermines trust, work, and human connection. The post A New Frontier for AI Agents: Human Interaction appeared first on SAS Blogs.

A New Frontier for AI Agents: Human Interaction Read More »

Cloudflare Releases Agents SDK v0.5.0 with Rewritten @cloudflare/ai-chat and New Rust-Powered Infire Engine for Optimized Edge Inference Performance

Cloudflare has released the Agents SDK v0.5.0 to address the limitations of stateless serverless functions in AI development. In standard serverless architectures, every LLM call requires rebuilding the session context from scratch, which increases latency and token consumption. The Agents SDK’s latest version (Agents SDK v0.5.0) provides a vertically integrated execution layer where compute, state,

Cloudflare Releases Agents SDK v0.5.0 with Rewritten @cloudflare/ai-chat and New Rust-Powered Infire Engine for Optimized Edge Inference Performance Read More »