Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Katanemo’s open sourcing of Arch-Function makes advanced AI tools accessible to a broader audience. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 109

Large Language Models Inference Engine Automation Data Scientist 109

Marktechpost

OCTOBER 2, 2024

Large language models (LLMs) have advanced significantly in recent years. The need to make LLMs more accessible on smaller and resource-limited devices drives the development of more efficient frameworks for model inference and deployment.

LLM 67

LLM Python Large Language Models Inference Engine 67

Marktechpost

JUNE 8, 2023

There are rising worries about the potential negative impacts of large language models (LLMs), such as data memorization, bias, and unsuitable language, despite LLMs’ widespread praise for their capacity to generate natural-sounding text.

Large Language Models 109

Large Language Models LLM Inference Engine AI 109

ODSC - Open Data Science

MARCH 8, 2024

Madonna among early adopters of AI’s next wave AMD’s custom Instinct MI309 GPU for China fails export license test from U.S. Gemma is a family of lightweight, state-of-the-art open models built from research and technology used to create Google Gemini models.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Large Language Models Data Science 52

Mlearning.ai

JULY 9, 2023

Source: Photo by Emiliano Vittoriosi on Unsplash Large language models (LLMs) are gaining popularity because of their capacity to produce text, translate between languages and produce various forms of creative content. Furthermore, these providers lack free tiers that can handle large language models (LLMs).

Large Language Models 52

Large Language Models LLM Python Auto-complete 52

Unite.AI

SEPTEMBER 24, 2024

NVIDIA Inference Microservices (NIM) and LangChain are two cutting-edge technologies that meet these needs, offering a comprehensive solution for deploying AI in real-world environments. Understanding NVIDIA NIM NVIDIA NIM, or NVIDIA Inference Microservices, is simplifying the process of deploying AI models.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Unite.AI

JUNE 21, 2024

According to NVIDIA's benchmarks , TensorRT can provide up to 8x faster inference performance and 5x lower total cost of ownership compared to CPU-based inference for large language models like GPT-3. Accelerating LLM Training with GPUs and CUDA.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130