Want to know the ways to Train An LLM?
Training Large Language Models (LLMs) is powered by different techniques designed to teach models how to understand and generate language.
Each method shapes how an LLM learns - from predicting the next word to classifying entire sentences…
Train LLMs locally with zero setup!
Unsloth AI released a Docker image that lets you train LLMs locally with zero setup.
No setup needed. Just pull, run, and start training.
100% open source.
You can make RAG apps 10x smarter with this SOTA method!
ColiVara is a retrieval method that does not involve chunking. Instead, it treats docs as images and uses vision models for embedding, just like a human would do.
Far better accuracy than traditional RAG systems.
A layered overview of key Agentic AI concepts.
Let's understand it step-by-step:
1️⃣ LLMs (the foundation layer)
At the core, you have LLMs like GPT, DeepSeek, etc.
Core ideas:
- Tokenization & inference: how text is processed by the model
- Prompt engineering: designing…
🚨Introducing Agent Development Kit (ADK) by Google
A simple framework from Google for building, evaluating, and deploying AI agents.
Here's what you need to know (a thread): 🧵
I've been using 𝐀𝐩𝐚𝐜𝐡𝐞 𝐊𝐚𝐟𝐤𝐚 for years now and I absolutely love it. Let me explain the message/event flow in simple terms. Give it a read. 👇
𝐃𝐨 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐰𝐡𝐚𝐭? 𝐀𝐩𝐚𝐜𝐡𝐞 𝐊𝐚𝐟𝐤𝐚 𝐰𝐚𝐬 𝐛𝐨𝐫𝐧 𝐨𝐮𝐭 𝐨𝐟 𝐚 𝐩𝐫𝐨𝐛𝐥𝐞𝐦. 😉
LinkedIn engineers…
Temperature in LLMs, clearly explained!
Temperature is a key sampling parameter in LLM inference. Today I'll show you what it means and how it actually works.
Let's start by prompting OpenAI GPT-3.5 with a low temperature value twice.
We observe that it produces identical…
𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗦𝗲𝗮𝗿𝗰𝗵 𝗿𝗲𝘁𝘂𝗿𝗻 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗶𝗻 𝗺𝗶𝗹𝗹𝗶𝘀𝗲𝗰𝗼𝗻𝗱𝘀?
Google Search operates on a 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱, 𝗺𝗮𝘀𝘀𝗶𝘃𝗲𝗹𝘆-𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 that breaks the internet down into chunks and processes them in…
You're in a research interview at a company building fact-critical LLM applications.
You would have bombed it had you not read this tweet.
"Our LLM often 'hallucinates' facts not present in its source material. How do you eliminate hallucinations?"
You reply: "We need more…
Memory & Context Window in LLMs
Large Language Models (LLMs) process information within a fixed-length context window, meaning they can only "see" a limited amount of text at once. Managing this memory efficiently is key to maintaining coherent long conversations or documents.…
Ready-to-use AI app templates for Multimodal RAG, Adaptive RAG and enterprise search with built-in indexing.
Connect to Google Drive, S3, PostgreSQL, Kafka and more. All updates sync automatically.
100% Opensource.
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