AWS Machine Learning Blog

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Techniques and experimentation Prompt design is the technique of creating the most effective prompt for an LLM with a clear objective.

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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Take a look at how the BBC is looking to utilise generative AI and ensure it puts its values first.

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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

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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Allen AI

FEBRUARY 1, 2024

As the world races to deploy AI models that are effective and safe, the demand for Open Large Language Models (LLMs) has exploded. The massive adoption of both open and closed AI models means that AI capabilities have leapfrogged our ability to understand how they are created.

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ODSC - Open Data Science

MARCH 12, 2024

With large language models and generative AI reshaping the digital landscape, what isn’t talked about enough is how these technologies have also revolutionized and significantly shifted the landscape of hardware requirements. That’s because the computational power required to train and run LLMs and generative AI is immense.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

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ODSC - Open Data Science

JUNE 29, 2023

Debugging Object Detection Models, 8 Trending LLMs, New AI Tools, and Generative AI as a Must-Have Skill Debug Object Detection Models with the Responsible AI Dashboard This blog will focus on the Azure Machine Learning Responsible AI Dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models.

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ODSC - Open Data Science

JANUARY 23, 2024

One of the biggest topics we touched on was the concept of retrieval augmented generation, better known as RAG , for LLMs. In this post, I take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. Some organizations leverage fine-tuning.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In this post, we propose Generative AI Gateway as platform for an enterprise to allow secure access to FMs for rapid innovation. In this post, we define what a Generative AI Gateway is, its benefits, and how to architect one on AWS. What is a Generative AI Gateway?

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John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. Use the “Generative AI” tag as you are browsing the session catalog to find them.

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Towards AI

APRIL 1, 2023

Last Updated on April 1, 2023 by Editorial Team Author(s): Mary Reagan PhD Originally published on Towards AI. Part 2: Responsible AI Recommendations for ML Practitioners and Policy Makers By Mary Reagan and Krishnaram Kenthapadi This is a follow-up to my part 1 on ChatGPT.

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AWS Machine Learning Blog

MARCH 15, 2024

Fortunately, with the advent of generative AI and large language models (LLMs) , it’s now possible to create automated systems that can handle natural language efficiently, and with an accelerated on-ramping timeline. The order summary is communicated back to the customer via Amazon Lex. awscli>=1.29.57

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Topbots

DECEMBER 5, 2023

Top LLM Research Papers 2023 1. LLaMA by Meta AI Summary The Meta AI team asserts that smaller models trained on more tokens are easier to retrain and fine-tune for specific product applications. The instruction tuning involves fine-tuning the Q-Former while keeping the image encoder and LLM frozen.

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AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

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Marktechpost

MAY 6, 2024

The Llama team’s future goals include extending Llama 3 into multilingual and multimodal domains, boosting contextual understanding, and continuously advancing fundamental LLM functions like code generation and reasoning. In conclusion, Llama3-ChatQA-1.5

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Marktechpost

JULY 15, 2023

Here are some other open-source large language models (LLMs) that are revolutionizing conversational AI. LLaMA Release date : February 24, 2023 LLaMa is a foundational LLM developed by Meta AI. It is designed to be more versatile and responsible than other models.

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ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

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Flipboard

AUGUST 6, 2023

The tool connects Jupyter with large language models (LLMs) from various providers, including AI21, Anthropic, AWS, Cohere, and OpenAI, supported by LangChain. Furthermore, variable interpolation enables dynamic interactions with AI models. Check out the GitHub and Reference Article.

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Towards AI

AUGUST 22, 2023

Last Updated on August 23, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. This is consistent with the company’s strategy so far of releasing widely available AI software that makes developing new customizable AI models much easier.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Large Language Models are everywhere these days. Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference.

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ODSC - Open Data Science

FEBRUARY 5, 2024

In the company’s news release, they state that this positions the company at the vanguard of generative AI technology. Their focus has been on advancing large language models tailored for healthcare, which has paid off as the company was able to report record revenue and community growth.

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ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. This enhances the context awareness and factual accuracy of LLM outputs.

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IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

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Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc.

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ODSC - Open Data Science

MARCH 8, 2024

Bench IQ, a Toronto-based startup, has unveiled an AI platform that promises to change how lawyers prepare for court. Source ) According to a report, Apple is hoping to push forward its efforts in generative AI in a bid to catch up with competitor Microsoft. The Open-Sora Plan project ‘s aim is to reproduce OpenAI’s Sora.

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ODSC - Open Data Science

JANUARY 11, 2024

The EU Unveils “The AI Act” — First AI-Focused Legislative Proposal by a Major Regulator At the start of 2023, the European Union unveiled a first-of-its-kind set of regulations aimed at artificial intelligence, which was named the AI Act. Databricks Introduces Dolly 2.0:

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Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

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Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

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Snorkel AI

JUNE 7, 2023

Mann touched on many details of the project—from the mix of the data Bloomberg used to their training sequence to the impact of the numerical precision of gradient estimates to the challenge in evaluating the performance of generative AI models. The output of generative models defies simple comparisons to test sets.

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Snorkel AI

JUNE 7, 2023

Mann touched on many details of the project—from the mix of the data Bloomberg used to their training sequence to the impact of the numerical precision of gradient estimates to the challenge in evaluating the performance of generative AI models. The output of generative models defies simple comparisons to test sets.

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