Artificial Intelligence, Inference Engine and Natural Language Processing

Artificial Intelligence

Inference Engine

Natural Language Processing

IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises

Marktechpost

OCTOBER 21, 2024

Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. 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.

AI Modeling

AI Modeling Large Language Models Inference Engine Natural Language Processing

Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI

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

Inference Engine Natural Language Processing AI AI

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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Baichuan-Omni: An Open-Source 7B Multimodal Large Language Model for Image, Video, Audio, and Text Processing

Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models

Large Language Models Inference Engine Natural Language Processing LLM

Webinars

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

The New Frontier: A Guide to Monetizing AI Offerings

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Dont Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Improving the Accuracy of Generative AI Systems: A Structured Approach

MORE WEBINARS

Self-Data Distilled Fine-Tuning: A Solution for Pruning and Supervised Fine-tuning Challenges in LLMs

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

Large Language Models Inference Engine Natural Language Processing LLM

Refined Local Learning Coefficients (rLLCs): A Novel Machine Learning Approach to Understanding the Development of Attention Heads in Transformers

Marktechpost

OCTOBER 21, 2024

Artificial intelligence (AI) and machine learning (ML) revolve around building models capable of learning from data to perform tasks like language processing, image recognition, and making predictions. These models use attention mechanisms to process data sequences more effectively.

Machine Learning

Machine Learning Neural Network Inference Engine Natural Language Processing

SeedLM: A Post-Training Compression Method that Uses Pseudo-Random Generators to Efficiently Encode and Compress LLM Weights

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

LLM Inference Engine Natural Language Processing Large Language Models

Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

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

Machine Learning LLM AI Researcher AI Research

Meissonic: A Non-Autoregressive Mask Image Modeling Text-to-Image Synthesis Model that can Generate High-Resolution Images

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

Inference Engine Natural Language Processing Large Language Models ML

NLP News Cypher | 07.26.20

Towards AI

JULY 21, 2023

Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 07.26.20 GitHub: Tencent/TurboTransformers Make transformers serving fast by adding a turbo to your inference engine!Transformer Primus The Liber Primus is unsolved to this day.

NLP

NLP Inference Engine Natural Language Processing Chatbots

Deploying AI at Scale: How NVIDIA NIM and LangChain are Revolutionizing AI Integration and Performance

Unite.AI

SEPTEMBER 24, 2024

Artificial Intelligence (AI) has moved from a futuristic idea to a powerful force changing industries worldwide. 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.

Inference Engine

Inference Engine Large Language Models AI AI

Inheritune: An Effective AI Training Approach for Developing Smaller and High-Performing Language Models

Marktechpost

OCTOBER 14, 2024

LLMs leverage the transformer architecture, particularly the self-attention mechanism, for high performance in natural language processing tasks. These “lazy layers” become redundant as they fail to learn meaningful representations. If you like our work, you will love our newsletter.

Inference Engine

Inference Engine Natural Language Processing AI AI

PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Unite.AI

JANUARY 17, 2024

In this article, we will discuss PowerInfer, a high-speed LLM inference engine designed for standard computers powered by a single consumer-grade GPU. The PowerInfer framework seeks to utilize the high locality inherent in LLM inference, characterized by a power-law distribution in neuron activations.

Large Language Models

Large Language Models Inference Engine LLM Generative AI

Meet PowerInfer: A Fast Large Language Model (LLM) on a Single Consumer-Grade GPU that Speeds up Machine Learning Model Inference By 11 Times

Marktechpost

DECEMBER 23, 2023

Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation.

Large Language Models

Large Language Models Machine Learning LLM Inference Engine

Host ML models on Amazon SageMaker using Triton: TensorRT models

AWS Machine Learning Blog

MAY 8, 2023

Overall, TensorRT’s combination of techniques results in faster inference and lower latency compared to other inference engines. The TensorRT backend for Triton Inference Server is designed to take advantage of the powerful inference capabilities of NVIDIA GPUs.

ML BERT Deep Learning Auto-complete

Open Collective Releases Magnum/v4 Series Models From 9B to 123B Parameters

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

Large Language Models Inference Engine Natural Language Processing AI Developer

The NLP Cypher | 02.14.21

Towards AI

JULY 19, 2023

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 DeepSparse: a CPU inference engine for sparse models. Sparsify: a UI interface to optimize deep neural networks for better inference performance. The Vision of St. Heartbreaker Hey Welcome back!

NLP

NLP Neural Network Natural Language Processing BERT

The NLP Cypher | 02.14.21

Towards AI

JULY 21, 2023

NLP

NLP Neural Network Natural Language Processing BERT

Build a personalized avatar with generative AI using Amazon SageMaker

AWS Machine Learning Blog

AUGUST 2, 2023

amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117" cu117" ) print(f"Image going to be used is - > {inference_image_uri}") In addition to that, we need to have a serving.properties file that configures the serving properties, including the inference engine to use, the location of the model artifact, and dynamic batching.

Generative AI

Generative AI Computer Vision Auto-complete Inference Engine

Artificial Intelligence Zone

IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises

Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI

Webinars

Trending Sources

Baichuan-Omni: An Open-Source 7B Multimodal Large Language Model for Image, Video, Audio, and Text Processing

Webinars

Self-Data Distilled Fine-Tuning: A Solution for Pruning and Supervised Fine-tuning Challenges in LLMs

Refined Local Learning Coefficients (rLLCs): A Novel Machine Learning Approach to Understanding the Development of Attention Heads in Transformers

SeedLM: A Post-Training Compression Method that Uses Pseudo-Random Generators to Efficiently Encode and Compress LLM Weights

Google AI Research Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities

Meissonic: A Non-Autoregressive Mask Image Modeling Text-to-Image Synthesis Model that can Generate High-Resolution Images

NLP News Cypher | 07.26.20

Deploying AI at Scale: How NVIDIA NIM and LangChain are Revolutionizing AI Integration and Performance

Inheritune: An Effective AI Training Approach for Developing Smaller and High-Performing Language Models

PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Meet PowerInfer: A Fast Large Language Model (LLM) on a Single Consumer-Grade GPU that Speeds up Machine Learning Model Inference By 11 Times

Host ML models on Amazon SageMaker using Triton: TensorRT models

Open Collective Releases Magnum/v4 Series Models From 9B to 123B Parameters

The NLP Cypher | 02.14.21

The NLP Cypher | 02.14.21

Build a personalized avatar with generative AI using Amazon SageMaker

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