Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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Machine Learning Large Language Models LLM BERT 294

Unite.AI

MARCH 15, 2024

In 2023, the competition in the AI sector reached unprecedented heights, fueled by real, mind-bending breakthroughs. In the ever-evolving landscape of the tech industry, Nvidia continues to solidify its position as the key player in AI infrastructure. Challenging Nvidia, with its nearly $1.5

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AI News

AUGUST 8, 2024

Amid the excitement over how AI will revolutionise healthcare, advertising, logistics, and everything else, one industry has flown under the radar: the legal profession. In fact, the business of law is a strong contender for achieving the highest return on investment (ROI) from using AI. This makes their AI more capable and valuable.

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AI AI Large Language Models Generative AI 318

Marktechpost

DECEMBER 2, 2024

Building large language model (LLM)-powered applications for real-world production scenarios is challenging. When building applications that leverage LLMs, the goal is to provide reliable, accurate, and contextually appropriate outputs to users, which requires consistency, validation, and maintainability.

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LLM Python Large Language Models Chatbots 124

IBM Journey to AI blog

APRIL 9, 2024

Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app.

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Machine Learning AI AI ML 250

Unite.AI

JULY 2, 2024

Retrieval-Augmented Generation (RAG) is a technique that combines the power of LLMs with external knowledge retrieval. RAG allows us to ground LLM responses in factual, up-to-date information, significantly improving the accuracy and reliability of AI-generated content. What are LLM Agents?

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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Marktechpost

OCTOBER 10, 2024

Current AI models focus on specialized tasks within this pipeline, but their limited scope can hinder performance. The Therapeutics Data Commons (TDC) offers datasets to help AI models predict drug properties, yet these models work independently. Tx-LLM was fine-tuned from PaLM-2 using this data.

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Large Language Models LLM Neural Network Natural Language Processing 135

Marktechpost

SEPTEMBER 19, 2024

Current tools used in software engineering, such as LLM-based models, assist developers by automating tasks like code summarization, bug detection, and code translation. This framework uses LLM-driven agents for software engineering tasks and includes three key modules: perception, memory, and action. Check out the Paper.

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Software Engineer LLM Software Development Automation 137

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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LLM ML Generative AI Natural Language Processing 135

Unite.AI

AUGUST 15, 2023

Despite the buzz surrounding Generative AI , most industry experts have yet to address a significant question: Is there an infrastructural platform that can support this technology long-term, and if so, will it be sufficiently sustainable to support the radical innovations Generative AI promises?

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AI News

SEPTEMBER 27, 2024

Ahead of AI & Big Data Expo Europe, AI News caught up with Ivo Everts, Senior Solutions Architect at Databricks , to discuss several key developments set to shape the future of open-source AI and data governance. ” In line with their commitment to open ecosystems, Databricks has also open-sourced Unity Catalog.

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Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. This obscurity makes it challenging to understand the AI's decision-making process. AI black boxes are systems whose internal workings remain opaque or invisible to users. Impact of the LLM Black Box Problem 1.

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Marktechpost

SEPTEMBER 28, 2024

It not only collects data from websites but also processes and cleans it into LLM-friendly formats like JSON, cleaned HTML, and Markdown. These customizations make the tool adaptable for various data types and web structures, allowing users to gather text, images, metadata, and more in a structured way that benefits LLM training.

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AI Weekly

OCTOBER 10, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Welcome Interested in sponsorship opportunities? politico.eu

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AI Researcher AI Research Robotics Artificial Intelligence 231

AWS Machine Learning Blog

NOVEMBER 22, 2024

In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The arguments are saved for a judge LLM to review.

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LLM Explainability Natural Language Processing Large Language Models 108

Marktechpost

NOVEMBER 24, 2024

Neural Magic has released the LLM Compressor , a state-of-the-art tool for large language model optimization that enables far quicker inference through much more advanced model compression. The second key technical advancement the LLM Compressor brings is activation and weight quantization support.

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Unite.AI

SEPTEMBER 13, 2023

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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Explainability Generative AI AI Tools AI 278

Marktechpost

SEPTEMBER 1, 2024

Current methods for improving LLM reasoning capabilities include strategies such as knowledge distillation, where a smaller model learns from a larger model, and self-improvement, where models are trained on data they generate themselves. Significant improvements in LLM performance were observed across various benchmarks.

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Marktechpost

OCTOBER 8, 2024

Recent advancements by Google and the introduction of Hex-LLM, a specialized serving framework, offer promising solutions for efficiently deploying open LLMs from Hugging Face on Google TPUs. By handling requests in this manner, Hex-LLM maximizes throughput, significantly reducing the cost per token served.

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LLM Large Language Models Artificial Intelligence Artificial Intelligence 115

Marktechpost

OCTOBER 9, 2024

Evaluating generative AI systems can be a complex and resource-intensive process. To address these issues, Kolena AI has introduced a new tool called AutoArena —a solution designed to automate the evaluation of generative AI systems effectively and consistently.

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Automation LLM AI Tools Prompt Engineer 128

ML @ CMU

SEPTEMBER 13, 2024

If a certain phrase exists within the LLM training data (e.g., is not itself generated text) and it can be reproduced with fewer input tokens than output tokens, then the phrase must be stored somehow within the weights of the LLM. We show that it appropriately ascribes many famous quotes as being memorized by existing LLMs (i.e.,

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LLM Neural Network OpenAI Large Language Models 124

Unite.AI

JUNE 12, 2024

Amid the excitement over how AI will revolutionize healthcare , advertising , logistics and everything else, one industry has flown under the radar: the legal profession. In fact, the business of law is a strong contender for achieving the highest return on investment (ROI) from using AI. This makes their AI more capable and valuable.

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AI AI Large Language Models Generative AI 261

Marktechpost

SEPTEMBER 7, 2024

As the use of LLMs becomes more widespread, minimizing such hallucinations is essential for ensuring trustworthiness and reliability in AI systems. Current approaches to managing hallucinations in LLMs typically focus on improving training techniques or maximizing the likelihood of correct responses. on MMLU, 79.7%

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LLM Large Language Models ML AI 138

AWS Machine Learning Blog

JULY 31, 2024

Amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (AI) technologies by companies and organizations across the globe. This holistic approach enabled participating organizations to rapidly advance their generative AI capabilities and bring transformative solutions to market.

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LLM Large Language Models Generative AI Explainability 133

Marktechpost

SEPTEMBER 27, 2024

DocETL operates by ingesting documents and following a multi-step pipeline that includes document preprocessing, feature extraction, and LLM-based operations for in-depth analysis. By combining LLM-powered operations, a user-friendly YAML interface, and automatic optimization, it simplifies the process of extracting insights from documents.

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LLM Natural Language Processing Large Language Models Automation 126

Marktechpost

SEPTEMBER 9, 2024

A team of researchers from Mila, University of Montreal, Princeton University, The University of Cambridge, and Google DeepMind develop an innovative approach to extract and leverage LLMs’ implicit knowledge about mathematical skills and concepts, with promising results for enhancing mathematical reasoning. Join our Telegram Channel.

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LLM Large Language Models ML AI 126

Unite.AI

NOVEMBER 14, 2023

Unlike GPT-4, which had information only up to 2021, GPT-4 Turbo is updated with knowledge up until April 2023, marking a significant step forward in the AI's relevance and applicability. The mundane tasks of programming may soon fall to AI, reducing the need for deep coding expertise. AI's influence in programming is already huge.

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Marktechpost

OCTOBER 17, 2024

MARS Lab, NTU has devised an innovative IoT-LLM framework that combats the limitations of the LLM in handling real-world tasks. Rule-based systems, traditional machine learning models, and basic AI-driven methods are conventional models for processing IoT data. The IoT-LLM framework consists of these three steps: 1.

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Marktechpost

SEPTEMBER 14, 2024

Researchers from Zhejiang University introduce OneGen, a novel solution that unifies the retrieval and generation processes into a single forward pass within an LLM. The technical foundation of OneGen involves augmenting the standard LLM vocabulary with retrieval tokens. If you like our work, you will love our newsletter.

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LLM Large Language Models AI AI 128

Unite.AI

JANUARY 26, 2024

In serverless architectures, LLMs are hosted on shared GPU clusters and allocated dynamically based on demand. Prominent implementations include Amazon SageMaker, Microsoft Azure ML, and open-source options like KServe. ServerlessLLM introduces a novel technique – live migration of LLM inference across GPU servers.

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Large Language Models LLM Software Architect Chatbots 241

Analytics Vidhya

FEBRUARY 23, 2024

The introduction of Large Language Models (LLMs) has brought in a significant paradigm shift in artificial intelligence (AI) and machine learning (ML) fields. With their remarkable advancements, LLMs can now generate content on diverse topics, address complex inquiries, and substantially enhance user satisfaction.

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Marktechpost

OCTOBER 13, 2024

Arena-Hard-Auto, and MTBench have gained popularity for evaluating LLMs due to their affordability and scalability compared to human evaluation. These benchmarks use LLM-based auto-annotators, which align well with human preferences, to provide timely assessments of new models. Automatic benchmarks like AlpacaEval 2.0,

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AI Weekly

FEBRUARY 22, 2024

Powered by clkmg.com In the News House launching bipartisan AI task force The House announced Tuesday it will launch a bipartisan task force centered on AI. Before elaborating further on existing regulations, we will briefly summarize what ML fairness is and illustrate why it is a complex problem.

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Marktechpost

OCTOBER 12, 2024

A promising application of these models is the development of autonomous multi-agent systems (MAS), which aim to utilize the collective intelligence of multiple LLM-based agents for collaborative problem-solving. Existing methods discussed in this paper include LLM-based MAS and Iterative Refinement of LLMs.

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LLM Natural Language Processing Large Language Models Software Development 119

Marktechpost

OCTOBER 13, 2024

Researchers from the University of Notre Dame and Salesforce AI introduce an innovative framework that scales up inference-time computation by generating multiple reasoning paths for complex tasks. This limitation leads to difficulties in verifying and ranking outputs, particularly when subtle flaws are present. Check out the Paper.

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AI Researcher AI Research LLM Large Language Models 121

ML @ CMU

SEPTEMBER 27, 2024

Advances in generative models have made it possible for AI-generated text, code, and images to mirror human-generated content in many applications. Watermarking , a technique that embeds information in the output of a model to verify its source, aims to mitigate the misuse of such AI-generated content. What is LLM Watermarking?

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