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LLM

What problem does CrewAI solve?: Unleashing the Power of CrewAI

Revolutionizing AI Automation: Unleashing the Power of CrewAI In this blog today, let us discover how CrewAI – a fast, flexible,...
Adesoji Alu
4 min read

Running Ollama with Docker for Python Applications

As AI and large language models become increasingly popular, many developers are looking to integrate these powerful tools into their Python...
Collabnix Team
4 min read

Setting Up Ollama Models with Docker Compose: A Step-by-Step Guide

Running large language models locally has become much more accessible thanks to projects like Ollama. In this guide, I’ll walk you...
Collabnix Team
3 min read

Does Ollama Use Parallelism Internally?

If you’ve been working with Ollama for running large language models, you might have wondered about parallelism and how to get...
Collabnix Team
3 min read

The Rise of Small Language Models: A Game-Changer in AI Technology

In the rapidly evolving world of artificial intelligence, a new star is emerging: Small Language Models (SLMs). While large language models...
Collabnix Team
1 min read

How to Run Gemma Models Using Ollama?

First and foremost, what is Gemma? Gemma is a family of open, lightweight, state-of-the-art AI models developed by Google, built from...
Adesoji Alu
3 min read

Mastering MCP Debugging with CLI Tools and jq

As developers, we often rely on Model Context Protocol (MCP) to facilitate powerful AI-based workflows. Although MCP is primarily designed for...
Adesoji Alu
3 min read

Is Ollama ready for Production?

Introduction: The Ollama Promise As organizations seek alternatives to cloud-based AI services, Ollama has gained significant traction for its ability to...
Collabnix Team
3 min read

How to Customize LLM Models with Ollama’s Modelfile?

Introduction Large Language Models (LLMs) have become increasingly accessible to developers and enthusiasts, allowing anyone to run powerful AI models locally...
Adesoji Alu
1 min read

Getting Started with NVIDIA Dynamo: A Powerful Framework for Distributed LLM Inference

In the rapidly evolving landscape of generative AI, efficiently serving large language models (LLMs) at scale remains a significant challenge. Enter...
Collabnix Team
3 min read

Running LLMs with TensorRT-LLM on NVIDIA Jetson Orin Nano Super

TensorRT-LLM is essentially a specialized tool that makes large language models (like ChatGPT) run much faster on NVIDIA hardware. Think of...
Ajeet Raina
15 min read

How to upgrade Jetpack 5.X to 6.X on NVIDIA Jetson Orin Nano Super

Recently, I upgraded my Jetson Orin Nano from JetPack 5.X to the latest JetPack 6.2. This represents a significant update, moving...
Ajeet Raina
2 min read

Deploying NVIDIA NIM for Generative AI Applications

NVIDIA’s NIM (Neural Inference Microservices) provides developers an efficient way to deploy optimized AI models from various sources, including community partners...
Collabnix Team
3 min read

The AI Economy: How Claude is Being Used Across Industries Based on Anthropic’s Economic Index Study

AI’s impact on work has moved from speculation to reality. A groundbreaking study from Anthropic analyzing millions of conversations with Claude...
Tanvir Kour
1 min read

How to Run DeepSeek-V3 Locally on Ubuntu with Python 3.11: A Step-by-Step Guide

Quantizing DeepSeek-V3 for Smaller GPUs Large language models (LLMs) like DeepSeek-V3 offer incredible capabilities, but their size often makes them challenging...
Adesoji Alu
1 min read

DeepSeek vs. ChatGPT: The New AI Challenger Shaping the Landscape

Artificial Intelligence has seen tremendous growth in recent years, with advanced models like OpenAI’s ChatGPT leading the charge in natural language...
Adesoji Alu
6 min read

Phi-4: Redefining Small Language Models with Advanced Mathematical Reasoning

Phi-4, Microsoft’s latest small language model (SLM), is a groundbreaking 14B parameter model that outperforms comparable and larger models on math-related...
Adesoji Alu
5 min read

How vLLM and Docker are Changing the Game for LLM Deployments

Have you ever wanted to deploy a large language model (LLM) that doesn’t just work well but also works lightning-fast? Meet...
Tanvir Kour
2 min read

Exploring LLMs: Ollama, vLLM, Hugging Face, LangChain, and Open WebUI

The world of large language models (LLMs) is evolving rapidly, offering diverse tools for developers to integrate powerful AI into their...
Tanvir Kour
2 min read

The Ultimate Guide to Top LLMs for 2024: Speed, Accuracy, and Value

Introduction Large Language Models (LLMs) have revolutionized the field of artificial intelligence, enabling machines to understand, interpret, and generate human-like text...
Adesoji Alu
2 min read

Cracking the Code: Estimating GPU Memory for Large Language Models

As AI enthusiasts and developers, we’ve all encountered the daunting task of deploying Large Language Models (LLMs). One crucial aspect of...
Adesoji Alu
3 min read

Large Language Models in Vertical Industries: Revolutionizing Medical Documentation

Large Language Models (LLMs) have emerged as a groundbreaking force in artificial intelligence, demonstrating remarkable capabilities in understanding and generating human-like...
Tanvir Kour
2 min read

Exploring the Revolutionary Nemotron-4-340B-Instruct: Enhanced Instruction Following and Mathematical Reasoning

Model Overview Nemotron-4-340B-Instruct is a large language model developed by NVIDIA, designed for English-based single and multi-turn chat applications. It has...
Adesoji Alu
4 min read

1 Step to Market Research Report Generation: Designing Agentic Workflows for Complex LLM Applications

Market research report generation using large language models (LLMs) has become increasingly viable as these models continue to evolve. Learn more...
Adesoji Alu
5 min read

2 ways to Assessing and Evaluating LLM Outputs: Ensuring Relevance, Accuracy, and Coherence of LLMs

As large language models (LLMs) become increasingly integrated into applications, ensuring their outputs are relevant, factually accurate, and coherent is paramount....
Adesoji Alu
4 min read

3 Proven Methods for Real-Time Voice Transcription Success: Balancing Precision and Performance in Critical Industries

In industries like healthcare, legal, and finance, real-time voice transcription has become critical. The demand is not only for transcription speed...
Adesoji Alu
7 min read

Powerful RAG Techniques for AI and NLP Projects

Retrieval Augmented Generation also known as (RAG) is the process of optimizing the output of a large language model, so it...
Adesoji Alu
21 min read
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