AIAI Silicon Valley, 2025
Catch up on every session from the AIAI Silicon Valley with sessions across 3 co-located summit featuring the likes of Anthropic, Open AI, Meta and many more.
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How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows
In this tutorial, we construct and discover the CAI Cybersecurity AI Framework step-by-step in Colab utilizing an OpenAI-compatible mannequin. We start by organising the atmosphere, securely loading the API key, and making a base agent. We step by step transfer into extra superior capabilities similar to customized operate instruments, multi-agent handoffs, agent orchestration, enter guardrails,…
NVIDIA AI Release VibeTensor: An AI Generated Deep Learning Runtime Built End to End by Coding Agents Programmatically
NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system asks a concrete question: can coding agents generate a coherent deep learning runtime that spans Python and JavaScript APIs down to C++ runtime components and CUDA memory management and…
Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents
If you’ve got frolicked utilizing AI coding brokers — GitHub Copilot, Claude Code, Gemini CLI — you’ve got most likely run into this example: you describe what you need, the agent generates a block of code that appears right, compiles, after which subtly misses the precise intent. This “vibe-coding” method can work for fast prototypes…
DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process
Most agent frameworks nonetheless run a predefined Reason, Act, Observe loop, so the agent can solely use the instruments that are injected within the immediate. This works for small duties, nevertheless it fails when the toolset is giant, when the duty is lengthy, and when the agent should change technique in the course of reasoning….
A Coding Implementation on Microsoft’s Phi-4-Mini for Quantized Inference Reasoning Tool Use RAG and LoRA Fine-Tuning
In this tutorial, we construct a pipeline on Phi-4-mini to discover how a compact but extremely succesful language mannequin can deal with a full vary of recent LLM workflows inside a single pocket book. We start by establishing a secure atmosphere, loading Microsoft’s Phi-4-mini-instruct in environment friendly 4-bit quantization, and then transfer step-by-step via streaming…
