Marktechpost

OCTOBER 16, 2024

The models are named based on their respective parameter counts—3 billion and 8 billion parameters—which are notably efficient for edge environments while still being robust enough for a wide range of natural language processing tasks. If you like our work, you will love our newsletter.

Inference Engine 116

Inference Engine Natural Language Processing AI AI 116

Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) like GPT-4, Gemini, and Llama 3 have revolutionized natural language processing through extensive pre-training and supervised fine-tuning (SFT). However, these models come with high computational costs for training and inference. If you like our work, you will love our newsletter.

Large Language Models 111

Large Language Models Inference Engine Natural Language Processing LLM 111

Marktechpost

OCTOBER 15, 2024

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation.

LLM 109

LLM Inference Engine Natural Language Processing Large Language Models 109

Marktechpost

OCTOBER 21, 2024

The models are trained on over 12 trillion tokens across 12 languages and 116 programming languages, providing a versatile base for natural language processing (NLP) tasks and ensuring privacy and security. These include 8B and 2B parameter-dense decoder-only models, which outperformed similarly sized Llama-3.1

AI Modeling 84

AI Modeling Large Language Models Inference Engine Natural Language Processing 84

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. However, while LLMs can process and generate responses based on vast amounts of data, improving their reasoning capabilities is an ongoing challenge.

Machine Learning 117

Machine Learning LLM AI Researcher AI Research 117

Marktechpost

OCTOBER 18, 2024

LLMs such as LLaMA, MAP-Neo, Baichuan, Qwen, and Mixtral are trained on large amounts of text data, exhibiting strong capacities in natural language processing and task resolution through text generation capacity. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 91

Large Language Models Inference Engine Natural Language Processing LLM 91

Marktechpost

OCTOBER 16, 2024

Large Language Models (LLMs) have demonstrated remarkable progress in natural language processing tasks, inspiring researchers to explore similar approaches for text-to-image synthesis. At the same time, diffusion models have become the dominant approach in visual generation. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 62

Inference Engine Natural Language Processing Large Language Models ML 62