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LLM

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...
Adesoji Alu
3 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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