Category
AI Agents
Autonomous agents, LLM applications, and intelligent systems
// 8 articles filed
// FIG. CAT-AI-A
PristrenPristrenAutonomous agents, LLM applications, and intelligent systems
// 8 articles filed
Built by Pristren
Reading about AI tools? Run your team on Zlyqor — chat, meetings, projects, and time tracking in one workspace.
Perplexity's Sonar API returns LLM-generated answers with inline citations from live web search - an OpenAI-compatible endpoint that replaces custom RAG pipelines for real-time data retrieval use cases.
Mahmudul Haque Qudrati
CEO & ML Engineer
Command R+ is purpose-built for RAG with inline citation generation, multi-step tool use, and 128k context. Here's how to implement grounded generation with source links.
Mahmudul Haque Qudrati
CEO & ML Engineer
Function calling lets LLMs invoke your code with structured arguments - here is the complete guide with parallel calls, error handling, and cross-provider format differences.
Mahmudul Haque Qudrati
CEO & ML Engineer
Gemini 2.0 Flash is 2x faster than 1.5 Flash with native tool use, a 1M token context, real-time multimodal streaming, and a thinking mode for hard problems.
Mahmudul Haque Qudrati
CEO & ML Engineer
ReAct interleaves reasoning traces with actions, enabling LLMs to use tools while maintaining a reasoning chain - the foundational pattern behind LangChain agents and modern AI assistants.
Mahmudul Haque Qudrati
CEO & ML Engineer
LangGraph replaces fragile LangChain agent chains with explicit state machines - giving you cycles, branching, persistence, and deterministic control flow.
Mahmudul Haque Qudrati
CEO & ML Engineer
AutoGen enables multi-agent AI through structured conversation between specialized agents, with built-in code execution, group chat, and a no-code Studio interface.
Mahmudul Haque Qudrati
CEO & ML Engineer
CrewAI structures multi-agent AI around roles, goals, and backstories - giving each agent a defined identity and letting them collaborate on complex tasks autonomously.
Mahmudul Haque Qudrati
CEO & ML Engineer
Deep dives into ML algorithms, models, and applications
AI trends, techniques, and real-world implementations
How LLMs work, honest comparisons, and production usage
Every technique that works — with real examples
Claude Code, Cursor, Copilot, open-source tools reviewed honestly
Local LLMs, open models, free AI infrastructure
Fewer tokens, cheaper APIs, local alternatives with real numbers
Benchmarks explained, evaluation frameworks, model testing
LLM SEO, AI SEO, Google AI Overviews, developer marketing
iOS, Android, and cross-platform mobile app development
Modern web technologies, frameworks, and best practices
Data analysis, visualization, and engineering insights