CLAUDE-3_5-SONNET

Anthropic has updated its terms to prohibit using OAuth tokens from consumer plans in third-party tools. Learn what this means for your development workflow and how to migrate to API keys efficiently.

Infosys integrates Anthropic's Claude models into its Topaz platform to build sophisticated agentic systems for global enterprises amidst IT market shifts.

Learn how to treat your JSON Schema as a prompt to improve extraction accuracy and reliability in AWS Bedrock, featuring Claude 3.5 Sonnet and advanced constrained decoding techniques.

A deep dive into the reported conflict between Anthropic and the U.S. Department of Defense regarding the use of Claude for surveillance and autonomous weaponry, and the technical implications for AI safety.

A comprehensive technical guide on optimizing LLM features for production, covering semantic caching, prompt compression, and intelligent model routing to achieve 73% cost reduction.

Explore how modern LLMs like Claude 3.5 Sonnet and OpenAI Codex are revolutionizing GPU programming by generating high-performance Triton and CUDA kernels.

A deep dive into the Model Context Protocol (MCP) compared to traditional Direct API calls for building context-aware AI agents and high-performance applications.

Anthropic secures a historic $30 billion Series G round, propelling its valuation to $380 billion as it intensifies its rivalry with OpenAI in the race for AGI and enterprise LLM dominance.

An in-depth review of the OpenEnv framework, examining how modern LLM agents like Claude 3.5 Sonnet and DeepSeek-V3 perform when interacting with real-world operating systems, databases, and web environments.

An in-depth technical analysis of how modern AI agents interact with secure execution environments, comparing integrated and decoupled sandbox architectures for production-grade LLM applications.

Unlock the full potential of Claude Code by implementing advanced personalization strategies, from custom instructions and MCP to context injection through n1n.ai.

An in-depth guide to transitioning from simple LLM chatbots to autonomous multi-agent systems using state machines, native tool calling, and hierarchical orchestration.