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 116

AI Modeling Large Language Models Natural Language Processing Inference Engine 116

Marktechpost

OCTOBER 23, 2024

by generating elegant and articulate poetry in structured forms, demonstrating a powerful synergy of natural language processing (NLP) and creative AI. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Anthropic AI Introduces a New Claude 3.5

Natural Language Processing 103

Natural Language Processing Inference Engine NLP Artificial Intelligence 103

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 108

LLM Natural Language Processing Inference Engine Large Language Models 108

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 116

Machine Learning LLM AI Research AI Researcher 116

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 111

Large Language Models Natural Language Processing Inference Engine LLM 111

Marktechpost

OCTOBER 15, 2024

In the future, it would be interesting to see Quanda’s functionalities extended to more complex areas, such as natural language processing. TDA researchers can benefit from this library’s standard metrics, ready-to-use setups, and consistent wrappers for available implementations. Check out the Paper and GitHub.

Explainability 57

Explainability Explainable AI Python Neural Network 57

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.

Natural Language Processing 61

Natural Language Processing Inference Engine Large Language Models ML 61

Marktechpost

OCTOBER 21, 2024

The study found that certain heads, labeled induction heads, played crucial roles in recognizing recurring patterns, such as those seen in code and natural language processing tasks. These heads contributed to the model’s ability to predict repeated syntactic structures effectively. Don’t Forget to join our 50k+ ML SubReddit.

Machine Learning 61

Machine Learning Neural Network Natural Language Processing Inference Engine 61

Marktechpost

OCTOBER 24, 2024

This quantization approach retains the critical features and capabilities of Llama 3, such as its ability to perform advanced natural language processing (NLP) tasks, while making the models much more lightweight. The benefits are clear: Quantized Llama 3.2 If you like our work, you will love our newsletter.

Large Language Models 119

Large Language Models NLP Natural Language Processing Inference Engine 119

Marktechpost

OCTOBER 20, 2024

For example, the smaller 9B and 12B parameter models are suitable for tasks where latency and speed are crucial, such as interactive applications or real-time inference. Furthermore, these models have been trained on a diverse dataset aimed at reducing bias and improving generalizability. If you like our work, you will love our newsletter.

Large Language Models 108

Large Language Models Natural Language Processing Inference Engine AI Developer 108

Marktechpost

OCTOBER 28, 2024

Text embedding, a central focus within natural language processing (NLP), transforms text into numerical vectors capturing the essential meaning of words or phrases. These embeddings enable machines to process language tasks like classification, clustering, retrieval, and summarization.

NLP 112

NLP Natural Language Processing Inference Engine Large Language Models 112

Marktechpost

OCTOBER 26, 2024

Despite rapid advancements in language technology, significant gaps in representation persist for many languages. Most progress in natural language processing (NLP) has focused on well-resourced languages like English, leaving many others underrepresented. If you like our work, you will love our newsletter.

Natural Language Processing 104

Natural Language Processing Inference Engine NLP AI 104

Marktechpost

OCTOBER 23, 2024

With up to 100 times faster performance compared to WASM, tasks such as real-time inference, natural language processing, and even on-device machine learning have become more feasible, eliminating the need for costly server-side computations and enabling more privacy-focused AI applications.

Machine Learning 57

Machine Learning Natural Language Processing Inference Engine BERT 57