AI News

MARCH 1, 2024

Musk, who has long voiced concerns about the risks posed by AI, has called for robust government regulation and responsible AI development. See also: Mistral AI unveils LLM rivalling major players Want to learn more about AI and big data from industry leaders?

OpenAI 334

OpenAI Big Data Responsible AI LLM 334

AI News

OCTOBER 14, 2024

These new facilities will provide the UK with increased computing power and data storage capabilities, essential for training and deploying next-generation AI technologies. The largest single investment comes from Washington DC-based CloudHQ, which plans to develop a £1.9 in data infrastructure investments appeared first on AI News.

Big Data 308

Big Data AI Development AI Developer LLM 308

AI News

FEBRUARY 22, 2024

[link] — Google Communications (@Google_Comms) February 22, 2024 While acknowledging the need to address diversity in AI-generated content, some argue that Google’s response has been an overcorrection. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Big Data 334

Big Data AI Modeling LLM AI Development 334

Snorkel AI

MARCH 4, 2025

Misaligned LLMs can generate harmful, unhelpful, or downright nonsensical responsesposing risks to both users and organizations. This is where LLM alignment techniques come in. LLM alignment techniques come in three major varieties: Prompt engineering that explicitly tells the model how to behave.

LLM 52

LLM Large Language Models Data Quality Prompt Engineer 52

Snorkel AI

JANUARY 22, 2025

Neither data scientists nor developers can tell you how any individual model weight impacts its output; they often cant reliably predict how small changes in the input will change the output. They use a process called LLM alignment. Aligning an LLM works similarly. Lets dive in. How does large language model alignment work?

Large Language Models 59

Large Language Models LLM Data Scientist Neural Network 59

AI News

SEPTEMBER 20, 2024

The company also launched an AI Developer, a Qwen-powered AI assistant designed to support programmers in automating tasks such as requirement analysis, code programming, and bug identification and fixing. To support these AI advancements, Alibaba Cloud has announced several infrastructure upgrades, including: CUBE DC 5.0,

AI Modeling 354

AI Modeling Big Data Metadata AI 354

Marktechpost

JANUARY 6, 2025

Conclusion NVIDIAs Cosmos World Foundation Model Platform offers a practical and robust solution to many of the challenges faced in physical AI development. By combining advanced technology with a user-focused design, Cosmos supports efficient and accurate model development, fostering innovation across various fields.

AI Development 104

AI Development AI Developer LLM AI 104

Marktechpost

AUGUST 9, 2024

LiveBench AI’s user-friendly interface allows seamless integration into existing workflows. The platform is designed to be accessible to novice and experienced AI practitioners, making it a versatile tool for many users. LiveBench AI addresses the critical challenges faced by AI developers today.

LLM 113

LLM Data Scientist Deep Learning AI 113

ODSC - Open Data Science

APRIL 2, 2025

Led by thought leaders like Sheamus McGovern, Founder of ODSC and Head of AI at Cortical Ventures, alongside Ali Hesham, a skilled Data Engineer from Ralabs, this bootcamp isnt just another courseits a launchpad for technical teams ready to take AI adoption seriously. Watch the full webinar of this topic on-demand here on Ai+ Training!

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models ML Engineer 52

Marktechpost

SEPTEMBER 17, 2024

Comet has unveiled Opik , an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for developers and data scientists to monitor, test, and track LLM applications from development to production.

LLM 104

LLM Large Language Models Data Scientist Automation 104

Marktechpost

AUGUST 2, 2024

However, the deployment of LLMs necessitates robust mechanisms to ensure safe and responsible user interactions. Current practices often employ content moderation solutions like LlamaGuard, WildGuard, and AEGIS to filter LLM inputs and outputs for potential safety risks.

LLM 104

LLM Large Language Models AI AI 104

ODSC - Open Data Science

MARCH 20, 2025

AI-Powered ETL Pipeline Orchestration: Multi-Agent Systems in the Era of Generative AI Discover how to revolutionize ETL pipelines with Generative AI and multi-agent systems, and learn about Agentic DAGs, LangGraph, and the future of AI-driven ETL pipeline orchestration. What Can You Do With a Free ODSC East ExpoPass?

ETL 52

ETL Prompt Engineer Prompt Engineering Data Science 52

ODSC - Open Data Science

MARCH 13, 2025

From cutting-edge tools like GPT-4, Llama 3, and LangChain to essential frameworks like TensorFlow and pandas, youll gain hands-on experience with the technologies shaping the future of AI. Understanding Copyright and AI: What the U.S. for AI Overviews & the introduction of a new experimental AIMode.

Data Science 52

Data Science Prompt Engineer Prompt Engineering ML 52

Marktechpost

NOVEMBER 14, 2024

In the realm of AI development, having the ability to simulate societies of agents with distinct personalities and adaptive behaviors could pave the way for a whole host of new applications. The Importance and Applications of TinyTroupe The significance of TinyTroupe cannot be overstated. Don’t Forget to join our 55k+ ML SubReddit.

Python 94

Python LLM Large Language Models AI 94

Marktechpost

OCTOBER 18, 2024

As a result, the potential for real-time optimization of agentic systems could be improved, slowing their progress in real-world applications like code generation and software development. The lack of effective evaluation methods poses a serious problem for AI research and development.

Large Language Models 109

Large Language Models LLM AI Development AI Developer 109

Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

AI Development 52

AI Development AI Developer Data Ingestion LLM 52

AI News

APRIL 17, 2024

The purpose of our AI Ethics Council is to tackle pressing ethical and security issues impacting AI development and usage. As AI rapidly becomes central to consumers and businesses across nearly every industry, we believe it is crucial to prioritise responsible development and cannot ignore the need for ethical considerations.

Generative AI 321

Generative AI Big Data Large Language Models AI 321

NVIDIA

MARCH 13, 2024

LLMs are widely used in language translation apps such as DeepL , which uses AI and machine learning to provide accurate outputs. Medical researchers are training LLMs on textbooks and other medical data to enhance patient care. Retailers are leveraging LLM-powered chatbots to deliver stellar customer support experiences.

Large Language Models 133

Large Language Models Chatbots LLM AI 133

Snorkel AI

MARCH 4, 2025

Misaligned LLMs can generate harmful, unhelpful, or downright nonsensical responsesposing risks to both users and organizations. This is where LLM alignment techniques come in. LLM alignment techniques come in three major varieties: Prompt engineering that explicitly tells the model how to behave.

LLM 59

LLM Large Language Models Data Quality Prompt Engineer 59

Marktechpost

SEPTEMBER 14, 2024

Let’s explore the key aspects of the Nemotron-Mini-4B-Instruct, technical capabilities, application areas, and implications for AI developers and users. The model is fine-tuned from Minitron-4B-Base, a previous Nvidia model, using LLM compression techniques. Check out the Model and Try it here.

Automation 117

Automation LLM AI Development AI Developer 117

Marktechpost

DECEMBER 5, 2024

Additionally, conventional LLM serving architectures often assume sufficient resources are available to handle all requests, which is increasingly difficult with rising demand, especially during peak usage times. To address these issues, Moonshot AI developed a new architecture.

LLM 86

LLM AI AI Large Language Models 86

IBM Journey to AI blog

AUGUST 19, 2024

Synthetic data , artificially generated information designed to mimic real-world scenarios, is rapidly gaining traction in AI development. NVIDIA recently announced Nemotron-4 340B , a family of open models designed to generate synthetic data for training large language models (LLMs) across various industries.

Large Language Models 112

Large Language Models Explainability AI Development AI Developer 112

Marktechpost

AUGUST 8, 2024

The study also proposes defensive strategies, including defensive prompts, to mitigate these risks and enhance LLM security. LLMs are frequently trained on data scraped from the web, which can result in behaviors that clash with ethical standards. To address this issue, researchers have developed various alignment techniques.

LLM 104

LLM ML AI Development AI Developer 104

Marktechpost

JANUARY 7, 2025

To address these challenges, researchers from Caltech, Meta FAIR, and NVIDIA AI developed Tensor-GaLore, a method for efficient neural network training with higher-order tensor weights. Addressing these issues requires innovative solutions that maintain model accuracy. Dont Forget to join our 60k+ ML SubReddit.

Neural Network 87

Neural Network Natural Language Processing Computer Vision LLM 87

Snorkel AI

FEBRUARY 18, 2025

But theres a catch: LLMs, particularly the largest and most advanced ones, are resource-intensive. Enter LLM distillation, a powerful technique that helps enterprises balance performance, cost efficiency, and task-specific optimization. By distilling large frontier LLMs like Llama 3.1 What is LLM distillation?

LLM 52

LLM Data Scientist Neural Network Large Language Models 52

Snorkel AI

FEBRUARY 18, 2025

But theres a catch: LLMs, particularly the largest and most advanced ones, are resource-intensive. Enter LLM distillation, a powerful technique that helps enterprises balance performance, cost efficiency, and task-specific optimization. By distilling large frontier LLMs like Llama 3.1 What is LLM distillation?

LLM 52

LLM Data Scientist Neural Network Large Language Models 52

Snorkel AI

DECEMBER 17, 2024

Evaluating large language model (LLM) systems can be a labyrinthine process. At Snorkel AI, we’ve fine-tuned a methodical workflow that can help streamline this task. Reference prompts: These are the prompts that you will feed your LLM each cycle. Below, Ill walk you through our structured approach using Snorkel Flow.

LLM 52

LLM Data Scientist Large Language Models Chatbots 52

Snorkel AI

DECEMBER 17, 2024

Evaluating large language model (LLM) systems can be a labyrinthine process. At Snorkel AI, we’ve fine-tuned a methodical workflow that can help streamline this task. Reference prompts: These are the prompts that you will feed your LLM each cycle. Below, Ill walk you through our structured approach using Snorkel Flow.

LLM 52

LLM Data Scientist Large Language Models Chatbots 52

ODSC - Open Data Science

OCTOBER 24, 2024

Time is running out to get your pass to the can’t-miss technical AI conference of the year. Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machine learning, and much more. Register here before we sell out! Learn how Informa’s IIRIS team manages data from over 2.5

ML 52

ML LLM Data Science Robotics 52

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. As conclusion the open-sourced Baichuan-Omni is a step toward developing a truly omni-modal LLM that encompasses all human senses.

Large Language Models 112

Large Language Models Natural Language Processing Inference Engine LLM 112

Marktechpost

SEPTEMBER 17, 2024

405B serving as the agent language model (LLM). Its creation reflects advancements in leveraging synthetic data generation and AI reflections for developing robust AI models. Artificially generated rather than collected from real-world events, synthetic data is increasingly vital in training AI models.

AI Modeling 104

AI Modeling Machine Learning AI AI 104

Marktechpost

SEPTEMBER 12, 2024

OpenAI has once again pushed the boundaries of AI with the release of OpenAI Strawberry o1 , a large language model (LLM) designed specifically for complex reasoning tasks. OpenAI o1 represents a significant leap in AI’s ability to reason, think critically, and improve performance through reinforcement learning.

OpenAI 113

OpenAI Large Language Models LLM AI 113

Marktechpost

AUGUST 22, 2024

NVIDIA has introduced Mistral-NeMo-Minitron 8B , a highly sophisticated large language model (LLM). This model continues their work in developing state-of-the-art AI technologies. It stands out due to its impressive performance across multiple benchmarks, making it one of the most advanced open-access models in its size class.

AI Modeling 104

AI Modeling Large Language Models Natural Language Processing AI 104

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. The adapted strategy first produces an LLM that is easily controllable for safety. If you like our work, you will love our newsletter.

Large Language Models 104

Large Language Models Inference Engine LLM AI 104

Marktechpost

SEPTEMBER 20, 2024

8B, a state-of-the-art LLM, and the 4B version was distilled by NVIDIA, further optimizing it for performance without sacrificing quality. Don’t Forget to join our 50k+ ML SubReddit FREE AI WEBINAR: ‘SAM 2 for Video: How to Fine-tune On Your Data’ (Wed, Sep 25, 4:00 AM – 4:45 AM EST) The post MagpieLM-4B-Chat-v0.1

AI Researcher 120

AI Researcher AI Research Large Language Models AI 120

ODSC - Open Data Science

OCTOBER 3, 2024

Best Practices for Prompt Engineering in Claude, Mistral, and Llama Every LLM is a bit different, so the best practices for each may differ from one another. Here’s a guide on how to use three popular ones: Llama, Mistral AI, and Claude. Got an LLM That Needs Some Work?

Prompt Engineering 40

Prompt Engineering Prompt Engineer LLM Data Science 40

Marktechpost

OCTOBER 27, 2024

This adaptation is essential, given the global user base that increasingly relies on LLMs across diverse languages for various tasks, including everyday information, safety guidelines, and nuanced conversations. A core issue in LLM development lies in adapting RMs to perform consistently across different languages.

Inference Engine 104

Inference Engine Large Language Models LLM ML 104