Category
LLM & Language Models
How LLMs work, honest comparisons, and production usage
// 12 articles filed
// FIG. CAT-LLM
PristrenPristrenHow LLMs work, honest comparisons, and production usage
// 12 articles filed
Where LLMs genuinely add value in business analysis, where they are unreliable, and the analyst workflow that gets results without creating liability.
Mahmudul Haque Qudrati
CEO & ML Engineer
How the Vercel AI SDK unifies LLM providers, the key functions (streamText, generateObject, useChat), Next.js App Router integration, and when to use it over calling APIs directly.
Mahmudul Haque Qudrati
CEO & ML Engineer
Complete guide to the Anthropic API - authentication, message format, streaming, tool use, prompt caching for 90% cost reduction, batch processing, and production error handling.
Mahmudul Haque Qudrati
CEO & ML Engineer
Context windows from 128k to 1M tokens compared - what fits in each size, the lost-in-the-middle accuracy problem, and practical guidance for choosing the right model for your context needs.
Mahmudul Haque Qudrati
CEO & ML Engineer
Whether providers train on your API calls, what zero data retention means, on-premise alternatives, and how to build a practical LLM data policy for your team.
Mahmudul Haque Qudrati
CEO & ML Engineer
An honest, benchmark-driven comparison of Claude 3.5 Sonnet vs GPT-4o covering coding, document analysis, multimodal tasks, pricing, and real-world verdict.
Mahmudul Haque Qudrati
CEO & ML Engineer
When local LLMs make sense for privacy, how to set up Ollama with IDE integration, performance benchmarks on real hardware, and the honest quality trade-off.
Mahmudul Haque Qudrati
CEO & ML Engineer
What alignment means, how RLHF and Constitutional AI shape model behavior, why models still fail, and what application-level guardrails you actually need to build.
Mahmudul Haque Qudrati
CEO & ML Engineer
Complete OpenAI API reference for 2026 - model catalog, chat completions, function calling, structured outputs with JSON schema, embeddings, rate limits, and cost management.
Mahmudul Haque Qudrati
CEO & ML Engineer
Which LLMs write the best code in 2026, what the benchmarks actually measure, how to get better output, and where generated code will still burn you.
Mahmudul Haque Qudrati
CEO & ML Engineer
What a knowledge cutoff is, current cutoff dates for GPT-4o, Claude, Gemini, and Llama, what models cannot know, and 4 practical workarounds for real-time information needs.
Mahmudul Haque Qudrati
CEO & ML Engineer
What makes o1 and o3 different from GPT-4o, where they dramatically outperform standard models, where they are overkill, and how to decide which model to use.
Mahmudul Haque Qudrati
CEO & ML Engineer
Deep dives into ML algorithms, models, and applications
AI trends, techniques, and real-world implementations
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
Autonomous agents, LLM applications, and intelligent systems