Category
Open Source AI
Local LLMs, open models, free AI infrastructure
// 12 articles filed
// FIG. CAT-OPEN
PristrenPristrenLocal LLMs, open models, free AI infrastructure
// 12 articles filed
vLLM, Ollama, and TGI are the main serving options. Here is hardware requirements, latency comparison, and the cost crossover point where self-hosting beats the API.
Mahmudul Haque Qudrati
CEO & ML Engineer
QLoRA makes fine-tuning 70B models accessible on a single consumer GPU. Here is the complete setup guide for fine-tuning Llama 3 with Unsloth.
Mahmudul Haque Qudrati
CEO & ML Engineer
LangChain is general-purpose and heavy. LlamaIndex is optimized for RAG. Here is when to use each, and when to use neither.
Mahmudul Haque Qudrati
CEO & ML Engineer
Whisper is the best open source speech-to-text model. Run locally with faster-whisper or free via Groq. Here is how to integrate transcription in Python and Node.js.
Mahmudul Haque Qudrati
CEO & ML Engineer
MLflow tracks parameters, metrics, and artifacts for ML experiments. Here is how to set it up in 5 lines, integrate with training loops, and when to use it over W&B.
Mahmudul Haque Qudrati
CEO & ML Engineer
Hugging Face hosts 900k+ models, datasets, and Spaces. Here is how to find the right model, use the Inference API, and run models locally with transformers.
Mahmudul Haque Qudrati
CEO & ML Engineer
PagedAttention gives vLLM 2-24x throughput over naive implementations. Here is how to set it up, configure batching, quantize models, and calculate hardware costs.
Mahmudul Haque Qudrati
CEO & ML Engineer
Real benchmark scores and hardware requirements for every major local LLM in 2026. Find the right model for your specific machine.
Mahmudul Haque Qudrati
CEO & ML Engineer
sentence-transformers, BGE-M3, and Nomic Embed are your main options. Here is how they compare to OpenAI's embeddings and when open source is good enough.
Mahmudul Haque Qudrati
CEO & ML Engineer
Ollama lets you run Llama 3.3, Mistral, Phi-3, and Deepseek-R1 on your own hardware for free. Complete setup guide, hardware requirements, and real use cases.
Mahmudul Haque Qudrati
CEO & ML Engineer
How to build a retrieval-augmented generation system using Ollama, ChromaDB, and Sentence Transformers. When open source RAG beats paid options.
Mahmudul Haque Qudrati
CEO & ML Engineer
SD 1.5, SDXL, SD 3, and Flux are your main model choices. Here is how to run locally, use via API, and integrate image generation in your product.
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
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