// LLM & Language Models

Gemini Flash Free Tier: What You Can Actually Build for Free

Gemini Flash 2.0 gives you 1.5M free tokens per day, image and audio support, and a 1M context window via Google AI Studio. No credit card required.

May 17, 2026

6 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

LLM Temperature and Sampling Explained: What Each Setting Actually Does

Temperature 0 gives deterministic output. Temperature 1.0 adds variety. Above 1.0, output degrades. Here is what temperature, top-p, and top-k actually control.

May 17, 2026

8 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

RAG vs Fine-Tuning: Which One Does Your Application Actually Need?

Most teams fine-tune when they should be using RAG. RAG handles knowledge. Fine-tuning handles behavior. Here is the decision framework to tell them apart.

May 17, 2026

9 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

LLM Context Management: How to Handle Long Conversations Without Losing Quality

Conversation quality degrades as context fills. Five concrete strategies prevent this: sliding windows, summarization, RAG memory, explicit tracking, and stateless design.

May 17, 2026

6 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

Gemini 1.5 Pro vs GPT-4o: Which Is Better in 2026?

Gemini 1.5 Pro and GPT-4o are the two dominant general-purpose LLMs in 2026. Here is a direct benchmark-by-benchmark breakdown to help you pick the right one.

May 17, 2026

4 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

Llama 3.3 Complete Guide: Meta's Best Open Source LLM

Llama 3.3 70B is Meta's most capable open source model, delivering GPT-4-class performance you can run locally or deploy without per-token API fees.

May 17, 2026

6 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

Mistral AI Models Guide: Which One to Use in 2026

Mistral AI offers a lineup from efficient 7B models to GPT-4o-competitive flagship models, all at significantly lower prices than OpenAI. Here is how to choose.

May 17, 2026

5 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

Phi-3: Microsoft's Small LLM That Punches Above Its Weight

Microsoft's Phi-3 family delivers surprising capability from tiny parameter counts. Phi-3 Mini at 3.8B parameters runs in 4GB of VRAM with MMLU scores that embarrass models three times its size. Practical deployment guide with benchmarks and honest tradeoffs.

May 17, 2026

5 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

Function Calling in LLMs: How to Get Structured Actions From AI

Function calling gives LLMs a structured way to request execution of specific functions with typed parameters, eliminating the need to parse free-form text outputs.

May 17, 2026

8 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

Streaming LLM Responses: How to Build Real-Time AI Interfaces

Streaming makes AI interfaces feel dramatically more responsive by showing users tokens as they generate rather than making them wait for a complete response.

May 17, 2026

7 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

LLM Embeddings Explained: What They Are and How to Use Them

Embeddings convert text into dense numerical vectors that capture semantic meaning, enabling similarity search and retrieval at scale without running inference on every query.

May 17, 2026

8 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

// LLM & Language Models

Deepseek: The Open Source LLM That Changed the Cost Equation

Deepseek trained a GPT-4o-competitive model for a reported $5.6M - roughly 1/20th of comparable frontier model training costs - and released it under MIT license.

May 17, 2026

8 min read

Mahmudul Haque Qudrati

CEO & ML Engineer

Our Blog

Recent Articles

Gemini Flash Free Tier: What You Can Actually Build for Free

LLM Temperature and Sampling Explained: What Each Setting Actually Does

RAG vs Fine-Tuning: Which One Does Your Application Actually Need?

LLM Context Management: How to Handle Long Conversations Without Losing Quality

Gemini 1.5 Pro vs GPT-4o: Which Is Better in 2026?

Llama 3.3 Complete Guide: Meta's Best Open Source LLM

Mistral AI Models Guide: Which One to Use in 2026

Phi-3: Microsoft's Small LLM That Punches Above Its Weight

Function Calling in LLMs: How to Get Structured Actions From AI

Streaming LLM Responses: How to Build Real-Time AI Interfaces

LLM Embeddings Explained: What They Are and How to Use Them

Deepseek: The Open Source LLM That Changed the Cost Equation