Marktechpost

AUGUST 2, 2024

AI, particularly through ML and DL, has advanced medical applications by automating complex tasks. ML algorithms learn from data to improve over time, while DL uses neural networks to handle large, complex datasets. These systems rely on a domain knowledge base and an inference engine to solve specialized medical problems.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Robotics Deep Learning 122

Marktechpost

OCTOBER 16, 2024

Current generative AI models face challenges related to robustness, accuracy, efficiency, cost, and handling nuanced human-like responses. There is a need for more scalable and efficient solutions that can deliver precise outputs while being practical for diverse AI applications. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 113

Large Language Models Inference Engine Generative AI AI 113

Marktechpost

OCTOBER 16, 2024

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These models require significant computational resources, making them dependent on cloud environments, which poses privacy risks, increases latency, and adds costs.

Natural Language Processing 120

Natural Language Processing Inference Engine AI AI 120

Marktechpost

OCTOBER 25, 2024

Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents unique hurdles. Don’t Forget to join our 55k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 125

Large Language Models Inference Engine Artificial Intelligence Artificial Intelligence 125

Marktechpost

OCTOBER 22, 2024

Generative AI models have become highly prominent in recent years for their ability to generate new content based on existing data, such as text, images, audio, or video. A specific sub-type, diffusion models, produces high-quality outputs by transforming noisy data into a structured format.

Machine Learning 109

Machine Learning Natural Language Processing Inference Engine ML 109

Marktechpost

OCTOBER 18, 2024

Multimodal AI models are powerful tools capable of both understanding and generating visual content. In conclusion, Janus presents a major step forward in developing unified multimodal AI models by resolving the conflicts between understanding and generation. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 104

Inference Engine AI AI AI Modeling 104

Marktechpost

OCTOBER 24, 2024

By doing so, Meta AI aims to enhance the performance of large models while reducing the computational resources needed for deployment. This makes it feasible for both researchers and businesses to utilize powerful AI models without needing specialized, costly infrastructure, thereby democratizing access to cutting-edge AI technologies.

Large Language Models 120

Large Language Models NLP Natural Language Processing Inference Engine 120

Marktechpost

OCTOBER 23, 2024

In an increasingly interconnected world, understanding and making sense of different types of information simultaneously is crucial for the next wave of AI development. Cohere has officially launched Multimodal Embed 3 , an AI model designed to bring the power of language and visual data together to create a unified, rich embedding.

Inference Engine 108

Inference Engine AI AI AI Modeling 108

Marktechpost

OCTOBER 25, 2024

A major challenge in AI research is how to develop models that can balance fast, intuitive reasoning with slower, more detailed reasoning in an efficient way. In AI models, this dichotomy between the two systems mostly presents itself as a trade-off between computational efficiency and accuracy.

Auto-complete 112

Auto-complete Inference Engine AI AI 112

Marktechpost

OCTOBER 18, 2024

The model is capable of few-shot learning for tasks across modalities, such as automatic speech recognition (ASR), text-to-speech (TTS), and speech classification. This versatility positions Meta Spirit LM as a significant improvement over traditional multimodal AI models that typically operate in isolated domains.

Inference Engine 120

Inference Engine Large Language Models AI AI 120

Marktechpost

OCTOBER 19, 2024

Code generation AI models (Code GenAI) are becoming pivotal in developing automated software demonstrating capabilities in writing, debugging, and reasoning about code. These models may inadvertently introduce insecure code, which could be exploited in cyberattacks. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 104

Inference Engine Large Language Models LLM AI Modeling 104

Marktechpost

OCTOBER 17, 2024

The ChatGPT Windows app delivers a native desktop experience for users, designed to improve interaction with the AI model. With the release of this dedicated app, OpenAI aims to extend the reach and convenience of its conversational AI. Don’t Forget to join our 50k+ ML SubReddit.

OpenAI 104

OpenAI ChatGPT Inference Engine Conversational AI 104

Marktechpost

OCTOBER 18, 2024

The impressive multimodal abilities and interactive experience of new AI models like GPT-4o highlight its critical role in practical applications, yet it needs a high-performing open-source counterpart. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 112

Large Language Models Natural Language Processing Inference Engine LLM 112

Marktechpost

OCTOBER 26, 2024

Mechanistic Unlearning is a new AI method that uses mechanistic interpretability to localize and edit specific model components associated with factual recall mechanisms. The study examines methods for removing information from AI models and finds that many fail when prompts or outputs shift.

Inference Engine 99

Inference Engine Large Language Models AI AI 99

Marktechpost

OCTOBER 27, 2024

Addressing this challenge requires a model capable of efficiently handling such diverse content. Introducing mcdse-2b-v1: A New Approach to Document Retrieval Meet mcdse-2b-v1 , a new AI model that allows you to embed page or slide screenshots and query them using natural language. Don’t Forget to join our 55k+ ML SubReddit.

Inference Engine 109

Inference Engine Data Scientist Machine Learning ML 109

Marktechpost

OCTOBER 27, 2024

Generative artificial intelligence (AI) models are designed to create realistic, high-quality data, such as images, audio, and video, based on patterns in large datasets. These models can imitate complex data distributions, producing synthetic content resembling samples. Don’t Forget to join our 55k+ ML SubReddit.

OpenAI 113

OpenAI Inference Engine Artificial Intelligence Artificial Intelligence 113

Marktechpost

OCTOBER 21, 2024

This allows the model to adapt its safety settings during use without retraining, and users can access the customized model through special interfaces, like specific API endpoints. The CoSA project aims to develop AI models that can meet specific safety requirements, especially for content related to video game development.

Large Language Models 104

Large Language Models Inference Engine LLM AI 104

AWS Machine Learning Blog

AUGUST 2, 2023

In this post, we demonstrate how you can use generative AI models like Stable Diffusion to build a personalized avatar solution on Amazon SageMaker and save inference cost with multi-model endpoints (MMEs) at the same time. amazonaws.com/djl-inference:0.21.0-deepspeed0.8.3-cu117" deepspeed0.8.3-cu117"

Generative AI 84

Generative AI Computer Vision Auto-complete Natural Language Processing 84

Marktechpost

OCTOBER 17, 2024

Jina AI announced the release of their latest product, g.jina.ai , designed to tackle the growing problem of misinformation and hallucination in generative AI models. This innovative tool is part of their larger suite of applications to improve factual accuracy and grounding in AI-generated and human-written content.

Inference Engine 67

Inference Engine Large Language Models LLM AI 67

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. A significant aspect of AI research focuses on neural networks, particularly transformers.

Machine Learning 62

Machine Learning Neural Network Natural Language Processing Inference Engine 62