AI News

JUNE 28, 2023

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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AssemblyAI

MARCH 18, 2024

As businesses integrate this generative AI technology, they also unlock opportunities to enhance operations, improve the customer journey, and drive innovative product development.    In this article, you’ll learn more about building with LLMs and the top business use cases for Generative AI tools and applications. 

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Analytics Vidhya

NOVEMBER 23, 2023

So, your […] The post Enhancing Podcast Accessibility: A Guide to LLM Text Highlighting appeared first on Analytics Vidhya. They magically turn spoken words into written notes, letting you easily pick out the gems and create handy bullet points.

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AI News

SEPTEMBER 12, 2023

The latest release of MLPerf Inference introduces new LLM and recommendation benchmarks, marking a leap forward in the realm of AI testing. What sets this achievement apart is the diverse pool of 26 different submitters and over 2,000 power results, demonstrating the broad spectrum of industry players investing in AI innovation.

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Marktechpost

FEBRUARY 27, 2024

It grants granular access to generative AI infrastructure, locally or in the cloud, enabling customized control over LLM processing. AICI with a lightweight virtual machine (VM), enabling agile and efficient interaction with LLMs. The researchers have also discussed different use cases.

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Flipboard

JUNE 20, 2023

today introduced its contact center large language model (LLM), with a 30-billion-parameter capacity, along with a generative AI suite designed to enhance agent performance. The company claims that in contrast to models like GPT, its proprietary LLM is … Conversation intelligence platform Observe.ai

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Unite.AI

SEPTEMBER 1, 2023

Let’s begin here: Yes, the opportunities for Generative AI (GenAI) are immense. The Journey from NLP to Large Language Model (LLM) Technology has been trying to make sense of natural languages for decades now. Machine learning came next with multiple approaches to deep learning and neural nets, etc.,

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Analytics Vidhya

DECEMBER 24, 2023

This is the promise of attention sinks, a revolutionary method that unlocks endless generation for LLMs. Learning Objectives This article was published as a part of the Data […] The post Attention Sinks for LLM – Endless Generation appeared first on Analytics Vidhya.

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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Marktechpost

APRIL 20, 2024

Innovations extend to the use of Monte Carlo Tree Search (MCTS) and integration of diffusion models for text generation, enhancing the quality and adaptability of model responses. Stanford researchers have introduced Direct Preference Optimization (DPO), a streamlined method for LLMs. Check out the Paper.

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AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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AWS Machine Learning Blog

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. The biggest concern we hear from customers as they explore the advantages of generative AI is how to protect their highly sensitive data and investments.

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AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

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AWS Machine Learning Blog

APRIL 24, 2024

To increase training samples for better learning, we also used another LLM to generate feedback scores. We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. This method addressed the RAG limitation and further improved the bot response quality.

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AWS Machine Learning Blog

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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Flipboard

SEPTEMBER 20, 2023

“Alexa, let’s chat” — nearly a decade after debuting its voice-activated Echo devies, the e-commerce and cloud juggernaut Amazon today announced that its signature voice assistant Alexa is being upgraded with a new, custom-built large language model (LLM), taking advantage of the generative AI boom …

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Towards AI

APRIL 1, 2024

The goal is to keep you up to date with machine learning projects, research papers, and concepts. Innovation comes not only from startups like HuggingFace, Mistral, or AI21 but also from large AI labs such as Meta. Join thousands of data leaders on the AI newsletter.

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IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries.

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AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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ODSC - Open Data Science

JULY 13, 2023

MLOPs with Azure Machine Learning The MLOps v2 accelerator is the de-facto MLOps solution from Microsoft going forward. Why Owning Your Own LLM Model is Critical — and Within Reach Many think that only the biggest companies can afford to build their own large language model. But in fact, owning your own LLM is quite feasible.

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AI Weekly

AUGUST 31, 2023

Powered by appliedintelligence.live In the News 10 Great Colleges For Studying Artificial Intelligence Interest in AI is on the rise—here are 10 schools that offer undergraduate majors or minors in machine learning and AI. zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2%

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Flipboard

DECEMBER 27, 2023

In today’s column, I have put together my most-read postings on how to skillfully craft your prompts when making use of generative AI such as ChatGPT, Bard, Gemini, Claude, GPT-4, and other popular large language models (LLM). These are handy strategies and specific techniques that can make a …

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AI Weekly

MAY 2, 2024

In the News Coalition of news publishers sue Microsoft and OpenAI A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. Planning a GenAI or LLM project?

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NVIDIA

DECEMBER 4, 2023

Inworld AI is changing the game by using generative AI to drive NPC behaviors that are dynamic and responsive to player actions. The Character Engine comprises three layers: Character Brain, Contextual Mesh and Real-Time AI. The Character Engine comprises three layers: Character Brain, Contextual Mesh and Real-Time AI.

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AWS Machine Learning Blog

OCTOBER 6, 2023

The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase behaviors. Features are the inputs used during training and inference of ML models.

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Towards AI

JANUARY 30, 2024

Author(s): Abhinav Kimothi Originally published on Towards AI. Being new to the world of Generative AI, one can feel a little overwhelmed by the jargon. These aren’t too technical and should be easy to understand for someone with a basic understanding of machine learning. Therefore used for very specific tasks.

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AWS Machine Learning Blog

APRIL 11, 2024

Looking back at AWS re:Invent 2023 , Jensen Huang, founder and CEO of NVIDIA, chatted with AWS CEO Adam Selipsky on stage, discussing how NVIDIA and AWS are working together to enable millions of developers to access powerful technologies needed to rapidly innovate with generative AI.

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Flipboard

JUNE 20, 2023

In this post, we’re sharing a reference architecture for … The post Emerging Architectures for LLM Applications appeared first on Andreessen Horowitz. But since they are so new—and behave so differently from normal computing resources—it’s not always obvious how to use them.

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AWS Machine Learning Blog

APRIL 18, 2024

Slack customers can now search smarter, summarize conversations instantly, and be at their most productive.” – Jackie Rocca, VP Product, AI at Slack Foundation models in SageMaker JumpStart SageMaker JumpStart is a machine learning (ML) hub that can help accelerate your ML journey.

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IBM Journey to AI blog

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. Hackers do not need to feed prompts directly to LLMs for these attacks to work.

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Towards AI

JANUARY 31, 2024

Last Updated on February 1, 2024 by Editorial Team Author(s): Marie Stephen Leo Originally published on Towards AI. 5 Practical, Beginner-Friendly Tips to Transform Your Generative AI Projects!Image This simple trick can speed up your LLM app by 70%!

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Chatbots Life

APRIL 19, 2024

As per a recent Gartner poll , 45% of executive leaders have increased their AI investments due to the popularity of ChatGPT. 70% of these executives confirmed that their organizations are currently exploring Generative Artificial Intelligence. Key Generative AI Business Gains The statistics provide a compelling answer.

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ODSC - Open Data Science

DECEMBER 21, 2023

Your Guide to Starting With RAG for LLM-Powered Applications In this post, we take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application? Grab your tickets for 70% off by Friday!

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AWS Machine Learning Blog

NOVEMBER 13, 2023

One of the most common applications of generative AI and large language models (LLMs) is answering questions based on a specific external knowledge corpus. Retrieval-Augmented Generation (RAG) is a popular technique for building question answering systems that use an external knowledge base.

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IBM Journey to AI blog

APRIL 9, 2024

. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.” ” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. ” Watsonx.ai

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NVIDIA

NOVEMBER 28, 2023

Techbio innovators including Alchemab Therapeutics , Basecamp Research , Character Biosciences , Evozyne , Etcembly and LabGenius are among the AWS users already using BioNeMo for generative AI-accelerated drug discovery and development. Thousands of healthcare and life sciences companies globally use AWS.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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