Inference Engine, ML and Natural Language Processing

This AI Paper Introduces a Unified Perspective on the Relationship between Latent Space and Generative Models

Marktechpost

OCTOBER 23, 2024

Considering the major influence of autoregressive ( AR ) generative models, such as Large Language Models in natural language processing ( NLP ), it’s interesting to explore whether similar approaches can work for images. Don’t Forget to join our 55k+ ML SubReddit.

Natural Language Processing

Natural Language Processing Inference Engine NLP Large Language Models

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. Check out the Paper and Github. If you like our work, you will love our newsletter.

Large Language Models

Large Language Models Machine Learning LLM 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. Don’t Forget to join our 50k+ ML SubReddit.

Natural Language Processing

Natural Language Processing Inference Engine AI AI

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Discrete Diffusion with Planned Denoising (DDPD): A Novel Machine Learning Framework that Decomposes the Discrete Generation Process into Planning and Denoising

Marktechpost

OCTOBER 22, 2024

Overall, this work presents a significant advancement in generative modeling techniques, provides a promising pathway toward better natural language processing outcomes, and marks a new benchmark for similar future research in this domain. Don’t Forget to join our 50k+ ML SubReddit. Check out the Paper and GitHub.

Machine Learning

Machine Learning Natural Language Processing Inference Engine ML

Starbucks: A New AI Training Strategy for Matryoshka-like Embedding Models which Encompasses both the Fine-Tuning and Pre-Training Phases

Marktechpost

OCTOBER 23, 2024

The empirical results of the Starbucks methodology demonstrate that it performs very well by improving the relevant performance metrics on the given tasks of natural language processing, particularly while considering the assessment task of text similarity and semantic comparison, as well as its information retrieval variant.

NLP

NLP Neural Network Natural Language Processing Inference Engine

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. Don’t Forget to join our 50k+ ML SubReddit. Furthermore, these models have been trained on a diverse dataset aimed at reducing bias and improving generalizability.

Large Language Models

Large Language Models Natural Language Processing Inference Engine AI Developer

Host ML models on Amazon SageMaker using Triton: TensorRT models

AWS Machine Learning Blog

MAY 8, 2023

SageMaker provides single model endpoints (SMEs), which allow you to deploy a single ML model, or multi-model endpoints (MMEs), which allow you to specify multiple models to host behind a logical endpoint for higher resource utilization. About the Authors Melanie Li is a Senior AI/ML Specialist TAM at AWS based in Sydney, Australia.

ML

ML BERT Deep Learning Auto-complete

Cohere for AI Releases Aya Expanse (8B & 32B): A State-of-the-Art Multilingual Family of Models to Bridge the Language Gap in AI

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. Don’t Forget to join our 55k+ ML SubReddit.

Natural Language Processing

Natural Language Processing Inference Engine NLP 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. Don’t Forget to join our 50k+ ML SubReddit. These “lazy layers” become redundant as they fail to learn meaningful representations.

Natural Language Processing

Natural Language Processing Inference Engine AI AI

This AI Paper from Amazon and Michigan State University Introduces a Novel AI Approach to Improving Long-Term Coherence in Language Models

Marktechpost

OCTOBER 26, 2024

Artificial intelligence (AI) is making significant strides in natural language processing (NLP), focusing on enhancing models that can accurately interpret and generate human language. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

NLP

NLP Natural Language Processing Inference Engine BERT

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. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models

Large Language Models Natural Language Processing Inference Engine LLM

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

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. Don’t Forget to join our 50k+ ML SubReddit. 8B in Hugging Face’s OpenLLM Leaderboard (v2).

AI Modeling

AI Modeling Large Language Models Natural Language Processing Inference Engine

Anthropic AI Introduces a New Claude 3.5 Sonnet with Computer Use Feature, and Claude 3.5 Haiku

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. Don’t Forget to join our 55k+ ML SubReddit. Meanwhile, the Sonnet and Haiku models showcase the creative aptitude of Claude 3.5 This capability allows Claude 3.5

Natural Language Processing

Natural Language Processing Inference Engine NLP Artificial Intelligence

Microsoft Asia Research Introduces SPEED: An AI Framework that Aligns Open-Source Small Models (8B) to Efficiently Generate Large-Scale Synthetic Embedding Data

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

NLP Natural Language Processing Inference Engine Large Language Models

Meta AI Releases New Quantized Versions of Llama 3.2 (1B & 3B): Delivering Up To 2-4x Increases in Inference Speed and 56% Reduction in Model Size

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. Don’t Forget to join our 55k+ ML SubReddit. The benefits are clear: Quantized Llama 3.2

Large Language Models

Large Language Models NLP Natural Language Processing Inference Engine

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 Natural Language Processing Inference Engine 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

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

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. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models

Large Language Models Natural Language Processing Inference Engine LLM

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 The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. The Vision of St. and share with friends!

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 Natural Language Processing

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 Natural Language Processing Inference Engine Chatbots

Quanda: A New Python Toolkit for Standardized Evaluation and Benchmarking of Training Data Attribution (TDA) in Explainable AI

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. Don’t Forget to join our 50k+ ML SubReddit. Check out the Paper and GitHub. All credit for this research goes to the researchers of this project.

Explainability

Explainability Explainable AI Python Neural Network

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. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Natural Language Processing

Natural Language Processing Inference Engine Large Language Models ML

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 Natural Language Processing Inference Engine

Transformers.js v3 Released: Bringing Power and Flexibility to Browser-Based Machine Learning

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

Machine Learning Natural Language Processing Inference Engine BERT

The NLP Cypher | 02.14.21

Towards AI

JULY 21, 2023

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. The Vision of St. and share with friends!

NLP

NLP Neural Network Natural Language Processing BERT

Spark NLP 5.0: It’s All About That Search!

John Snow Labs

JULY 5, 2023

Serving as a high-performance inference engine, ONNX Runtime can handle machine learning models in the ONNX format and has been proven to significantly boost inference performance across a multitude of models. LTS ML Databricks 13.1 LTS ML GPU Databricks 13.2 LTS ML Databricks 13.2 LTS ML Databricks 13.1

NLP

NLP BERT LLM Natural Language Processing

Artificial Intelligence Zone

This AI Paper Introduces a Unified Perspective on the Relationship between Latent Space and Generative Models

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

Webinars

Trending Sources

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

Webinars

Discrete Diffusion with Planned Denoising (DDPD): A Novel Machine Learning Framework that Decomposes the Discrete Generation Process into Planning and Denoising

Starbucks: A New AI Training Strategy for Matryoshka-like Embedding Models which Encompasses both the Fine-Tuning and Pre-Training Phases

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

Host ML models on Amazon SageMaker using Triton: TensorRT models

Cohere for AI Releases Aya Expanse (8B & 32B): A State-of-the-Art Multilingual Family of Models to Bridge the Language Gap in AI

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

This AI Paper from Amazon and Michigan State University Introduces a Novel AI Approach to Improving Long-Term Coherence in Language Models

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

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

Anthropic AI Introduces a New Claude 3.5 Sonnet with Computer Use Feature, and Claude 3.5 Haiku

Microsoft Asia Research Introduces SPEED: An AI Framework that Aligns Open-Source Small Models (8B) to Efficiently Generate Large-Scale Synthetic Embedding Data

Meta AI Releases New Quantized Versions of Llama 3.2 (1B & 3B): Delivering Up To 2-4x Increases in Inference Speed and 56% Reduction in Model Size

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

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

The NLP Cypher | 02.14.21

Build a personalized avatar with generative AI using Amazon SageMaker

NLP News Cypher | 07.26.20

Quanda: A New Python Toolkit for Standardized Evaluation and Benchmarking of Training Data Attribution (TDA) in Explainable AI

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

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

Transformers.js v3 Released: Bringing Power and Flexibility to Browser-Based Machine Learning

The NLP Cypher | 02.14.21

Spark NLP 5.0: It’s All About That Search!

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