Marktechpost

OCTOBER 31, 2024

Run AI recently announced an open-source solution to tackle this very problem: Run AI: Model Streamer. This tool aims to drastically cut down the time it takes to load inference models, helping the AI community overcome one of its most notorious technical hurdles.

Data Scientist 79

Data Scientist Inference Engine Machine Learning AI Modeling 79

NVIDIA

JULY 23, 2024

NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives. The key difference is the product: TSMC produces physical semiconductor chips, while NVIDIA AI Foundry helps create custom models.

Generative AI 131

Generative AI AI Modeling AI AI 131

Marktechpost

OCTOBER 21, 2024

Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability.

AI Modeling 114

AI Modeling Large Language Models Natural Language Processing Inference Engine 114

Unite.AI

SEPTEMBER 24, 2024

However, scaling AI across an organization takes work. It involves complex tasks like integrating AI models into existing systems, ensuring scalability and performance, preserving data security and privacy, and managing the entire lifecycle of AI models.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Marktechpost

OCTOBER 26, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Google Researchers Introduce UNBOUNDED: An Interactive Generative Infinite Game based on Generative AI Models appeared first on MarkTechPost.

Generative AI 113

Generative AI AI Modeling Large Language Models Inference Engine 113

Unite.AI

JULY 18, 2024

Imagine working with an AI model that runs smoothly on one processor but struggles on another due to these differences. For developers and researchers, this means navigating complex problems to ensure their AI solutions are efficient and scalable on all types of hardware.

Neural Network 162

Neural Network AI Modeling AI AI 162

Unite.AI

JANUARY 17, 2024

Moreover, to operate smoothly, generative AI models rely on thousands of GPUs, leading to significant operational costs. The high operational demands are a key reason why generative AI models are not yet effectively deployed on personal-grade devices.

Large Language Models 130

Large Language Models Inference Engine LLM Natural Language Processing 130

NVIDIA

APRIL 9, 2024

NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform, together with Google Kubernetes Engine (GKE) provide a streamlined path for developing AI-powered apps and deploying optimized AI models into production.

AI Development 137

AI Development AI Developer Generative AI Inference Engine 137

Marktechpost

OCTOBER 26, 2024

Financial practitioners can now leverage an AI that understands the nuances and complexities of market dynamics, offering insights with unparalleled accuracy. Hawkish 8B represents a promising development in AI models focused on finance. If you like our work, you will love our newsletter.

Inference Engine 126

Inference Engine NLP ML AI Modeling 126

Marktechpost

AUGUST 2, 2024

Intelligent Medical Applications: AI in Healthcare: AI has enabled the development of expert systems, like MYCIN and ONCOCIN, that simulate human expertise to diagnose and treat diseases. These systems rely on a domain knowledge base and an inference engine to solve specialized medical problems.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Robotics Deep Learning 120

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 117

Natural Language Processing Inference Engine AI AI 117

Towards AI

JULY 1, 2024

source) Nvidia Inference Microservice (NIM): In simple terms, NIM is a collection of cloud-native microservices that help in deployment of generative AI models on GPU-accelerated workstations, cloud environments, and data centers. What is Nvidia Nim?

Generative AI 98

Generative AI Inference Engine Large Language Models OpenAI 98

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. Traditional speech recognition systems, though advanced, often struggle with understanding nuanced emotions, variations in dialect, and real-time adjustments.

Large Language Models 122

Large Language Models Inference Engine Artificial Intelligence Artificial Intelligence 122

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. If you like our work, you will love our newsletter.

Inference Engine 103

Inference Engine AI AI AI Modeling 103

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 107

Machine Learning Natural Language Processing Inference Engine ML 107

Unite.AI

AUGUST 12, 2024

The Birth of Black Forest Labs Before we delve into the technical aspects of Flux, it's crucial to understand the pedigree behind this innovative model. Black Forest Labs is not just another AI startup; it's a powerhouse of talent with a track record of developing foundational generative AI models.

Natural Language Processing 246

Natural Language Processing Generative AI Inference Engine AI Tools 246

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 106

Inference Engine AI AI AI Modeling 106

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 110

Auto-complete Inference Engine AI AI 110

NVIDIA

JUNE 12, 2024

RTX GPUs also take advantage of Tensor Cores — dedicated AI accelerators that dramatically speed up the computationally intensive operations required for deep learning and generative AI models. When using an RTX GPU, these results can be generated faster than processing the AI model on a CPU or NPU. Source: Jan.ai

LLM 114

LLM Generative AI AI AI 114

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. If you like our work, you will love our newsletter.

Inference Engine 103

Inference Engine Large Language Models LLM AI Modeling 103

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 117

Inference Engine Large Language Models AI AI 117

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. Finally, the “ Omni-Alignment ” stage combines image, video, and audio data for comprehensive multimodal learning.

Large Language Models 109

Large Language Models Natural Language Processing Inference Engine LLM 109

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. If you like our work, you will love our newsletter.

OpenAI 102

OpenAI ChatGPT Inference Engine Conversational AI 102

NVIDIA

MAY 28, 2023

This allows the bots to inspect areas of products that fixed cameras simply can’t access, as well as use AI at the edge to instantly detect defects. NVIDIA RTX GPUs power up their AI performance.” These perfectly labeled images are used to train the AI models in the cloud and dramatically enhance their performance.

Robotics 95

Robotics Automation Inference Engine AI Modeling 95

NVIDIA

OCTOBER 23, 2024

Watch CoRover’s session live at the AI Summit or on demand, and learn more about Indian businesses building multilingual language models with NeMo. VideoVerse uses NVIDIA CUDA libraries to accelerate AI models for image and video understanding, automatic speech recognition and natural language understanding.

Conversational AI 96

Conversational AI Chatbots Generative AI Natural Language Processing 96

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 98

Inference Engine Large Language Models AI AI 98

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. If you like our work, you will love our newsletter.

OpenAI 110

OpenAI Inference Engine Artificial Intelligence Artificial Intelligence 110

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 103

Large Language Models Inference Engine LLM AI 103

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 64

Inference Engine Large Language Models LLM AI 64

Marktechpost

OCTOBER 21, 2024

By allowing the model to focus on the most relevant parts of the data, transformers can perform complex tasks that require understanding and prediction across various domains. One major issue in AI model development is understanding how internal components, such as attention heads in transformers, evolve and specialize during training.

Machine Learning 60

Machine Learning Neural Network Natural Language Processing Inference Engine 60

ODSC - Open Data Science

MARCH 8, 2024

They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. gemma.cpp is a lightweight, standalone C++ inference engine for the Gemma foundation models from Google. The Open-Sora Plan project ‘s aim is to reproduce OpenAI’s Sora.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Large Language Models 52

Viso.ai

MAY 24, 2024

It uses formal languages, like first-order logic, to represent knowledge and an inference engine to draw logical conclusions based on user queries. Symbolic AI Mechanism. This ability to trace outputs to the rules and knowledge within the program makes the symbolic AI model highly interpretable and explainable.

Neural Network 52

Neural Network Robotics Automation Explainability 52

AWS Machine Learning Blog

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. 70B model showed significant and consistent improvements in end-to-end (E2E) scaling times. cu124 Model Llama 3.1

Generative AI 101

Generative AI Machine Learning Large Language Models ML Engineer 101

Marktechpost

FEBRUARY 26, 2024

This methodology drastically cuts down the latency for CPU-GPU communication, enabling the system to run large MoE models, such as the Mixtral-8x7B with over 90GB of parameters, efficiently on a single GPU with limited memory. Fiddler’s design showcases a significant technical innovation in AI model deployment.

Inference Engine 130

Inference Engine Artificial Intelligence Artificial Intelligence AI Modeling 130

AWS Machine Learning Blog

NOVEMBER 26, 2024

You can reattach to your Docker container and stop the online inference server with the following: docker attach $(docker ps --format "{{.ID}}") Create a file for using the offline inference engine: cat > offline_inference.py <<EOF from vllm.entrypoints.llm import LLM from vllm.sampling_params import SamplingParams # Sample prompts.

LLM 99

LLM AI AI Artificial Intelligence 99

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 117

Large Language Models NLP Natural Language Processing Inference Engine 117

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 111

Large Language Models Inference Engine Generative AI AI 111