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What Are the Steps Involved in Fine-Tuning a Language Model?
In this blog, we’ll walk through the key steps involved in fine-tuning a language model, highlighting tools, best practices, and pitfalls to avoid.
Areeba Haider
Jun 27 · 2025
What Tools Are Used to Fine-Tune LLMs?
Fine-tuning isn’t limited to picking a model and training it. It’s a multi-stage process involving data prep, training frameworks, evaluation, and deployment. In this blog, we’ll walk through the core categories of tools used to fine-tune LLMs — and why they matter.
Zarish Khalid
Jun 27 · 2025
Should You Prompt or Fine-Tune Your Language Model?
In this blog, we’ll explore the trade-offs between prompt engineering vs fine tuning LLMs, and help you understand when it’s worth moving beyond zero-shot prompts to custom model training.
Sumit Mehrotra
Jun 27 · 2025
What tools are commonly used in RAG systems?
RAG, or Retrieval-Augmented Generation, has quickly become a default architecture for building intelligent, grounded LLM applications. But while the pattern sounds simple (“retrieve then generate”), real-world systems require a stack of carefully chosen tools. The right components can mean the difference between brittle hacks and production-grade intelligence. In this blog, we’ll break down the core categories of RAG tools, highlight popular choices, and show how each piece fits into the end-to-end pipeline.
Zach Milkis
Jun 26 · 2025
Is LangChain a high level framework?
Designed for speed and scale, LangChain lets developers focus on what they want to build rather than how to glue models, prompts, and memory together. But that power raises a key question: Is LangChain high level? This blog breaks down what "high level" really means for LangChain users. We'll explore how abstraction can speed you up, when it gets in your way, and what developers should know to strike the right balance between control and convenience.
Naeem ul Haq
Jun 26 · 2025
Is LangChain available as open source?
LangChain is quickly becoming the go-to framework for developers building with large language models (LLMs). Its modular design has captured attention across industries, from RAG pipelines to production agents. At this point, you may be wondering: Is LangChain open source? In this blog, we’ll break down what’s truly open source, what’s not, and why LangChain’s licensing model matters for developers, startups, and enterprises alike.
Khayyam Hashmi
Jun 26 · 2025
Is LangChain really free to use?
Is LangChain free? In this blog, we’ll answer that question, explain what’s actually included at no cost, and explore when (and why) you might start paying.
Zarish Khalid
Jun 26 · 2025
Can LangChain work with models other than OpenAI’s GPT?
LangChain is best known for helping developers build LLM-powered applications using OpenAI’s GPT models. But a common and important question arises: "Can I use LangChain with models other than OpenAI’s GPT?" In this blog, learn how LangChain supports a wide variety of LLMs beyond OpenAI.
Sumit Mehrotra
Jun 25 · 2025
How to learn coding in 30 days
Think learning to code takes years? With the right mindset, plan, and daily commitment, you can build real coding skills in just 30 days—starting today.
Fareeha Idrees
Jun 25 · 2025