Marktechpost

OCTOBER 18, 2024

Traditionally, AI development has focused on training models using datasets that reflect human intelligence, such as language corpora or expert-annotated data. This method assumes that intelligence can only emerge from exposure to inherently intelligent data. If you like our work, you will love our newsletter.

Inference Engine 103

Inference Engine ML AI Development AI Developer 103

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. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.

Inference Engine 107

Inference Engine AI AI AI Modeling 107

Marktechpost

OCTOBER 24, 2024

The broader implications of this technology could lead to more equitable access to AI, fostering innovation in areas previously out of reach for smaller enterprises and researchers. 1B & 3B): Delivering Up To 2-4x Increases in Inference Speed and 56% Reduction in Model Size appeared first on MarkTechPost.

Large Language Models 119

Large Language Models NLP Natural Language Processing Inference Engine 119

Unite.AI

AUGUST 12, 2024

Deploying Flux as an API with LitServe For those looking to deploy Flux as a scalable API service, Black Forest Labs provides an example using LitServe, a high-performance inference engine. Ethical AI Development : Continued focus on developing AI models that are not only powerful but also responsible and ethically sound.

Natural Language Processing 246

Natural Language Processing Generative AI Inference Engine AI Tools 246

Marktechpost

OCTOBER 18, 2024

These advanced models expand AI capabilities beyond text, allowing understanding and generation of content like images, audio, and video, signaling a significant leap in AI development. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 111

Large Language Models Natural Language Processing Inference Engine LLM 111

Marktechpost

OCTOBER 27, 2024

Researchers from Writesonic, Allen Institute for AI, Bangladesh University of Engineering and Technology, ServiceNow, Cohere For AI Community, Cohere, and Cohere For AI developed the M-RewardBench , a new multilingual evaluation benchmark designed to test RMs across a spectrum of 23 languages.

Inference Engine 103

Inference Engine Large Language Models LLM ML 103

Unite.AI

JUNE 21, 2024

Projects like cuDNN , cuBLAS , and NCCL are available as open-source libraries, enabling researchers and developers to leverage the full potential of CUDA for their deep learning. Installation When setting AI development, using the latest drivers and libraries may not always be the best choice. xx) supports CUDA 12.3,

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Marktechpost

OCTOBER 21, 2024

Some researchers highlighted that AI should have “normative competence,” meaning the ability to understand and adjust to diverse norms, promoting safety pluralism. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 104

Large Language Models Inference Engine LLM AI 104

NVIDIA

OCTOBER 23, 2024

Fluid AI taps NVIDIA NIM microservices, the NVIDIA NeMo platform and the NVIDIA TensorRT inference engine to deliver a complete, scalable platform for developing custom generative AI for its customers. Karya also provides royalties to all contributors each time its datasets are sold to AI developers. “By

Conversational AI 109

Conversational AI Chatbots Generative AI Natural Language Processing 109

Unite.AI

APRIL 24, 2024

Could you discuss what is developer centric AI and why this is so important? It’s simple: “developer-centric” means prioritizing the needs of AI developers. For example: creating tools, communities and processes that make developers more efficient and autonomous.

AI 130

AI AI OpenAI Machine Learning 130

Marktechpost

OCTOBER 16, 2024

DAM proves that focusing on efficiency and scalability without sacrificing performance can provide a significant advantage in AI development. Moving forward, researchers intend to explore DAM’s scalability across different domains and languages, potentially expanding its impact on the broader AI landscape.

Inference Engine 61

Inference Engine Large Language Models AI AI 61

Mlearning.ai

JUNE 2, 2023

In the first part of this blog, we are going to explore how Modular came into existence, who are it’s founding members, and what they have to offer to the AI community. This highly complex and fragmented ecosystem is hampering the AI innovation, and is pulling back the AI community, as a whole. Read more about it here.

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52

ML @ CMU

APRIL 23, 2025

By assessing 19 models across six moral dimensions and examining demographic correlations and prompt consistency, they uncover significant variation in moral alignment across languageshighlighting ethical biases and the need for more inclusive, multilingual approaches to responsible AI development.

Large Language Models 68

Large Language Models LLM Robotics Algorithm 68

AI Impacts

OCTOBER 28, 2024

The result of using these methods and technologies would be an AI-powered inference engine we can query to see the rational support, empirical or otherwise, of key premises to arguments that bear on important practical decisions.

Automation 162

Automation Explainability AI AI 162