AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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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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AWS Machine Learning Blog

JULY 29, 2024

Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer , which promotes responsible AI use across Salesforce. Solution overview With the Salesforce Einstein Model Builder BYO LLM feature, you can invoke Amazon Bedrock models in your AWS account.

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AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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AWS Machine Learning Blog

JUNE 25, 2024

However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Generative AI technology, such as conversational AI assistants, can potentially solve this problem by allowing members to ask questions in their own words and receive accurate, personalized responses. A pre-configured prompt template is used to call the LLM and generate a valid SQL query.

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TheSequence

JANUARY 14, 2024

Created Using DALL-E Next Week in The Sequence: Edge 361: Our current series about LLM reasoning explores the tree-of-thought method including its original paper. We also dive into LangChain’s LangSmith tool for LLM debugging and evaluation. 📝 Editorial: Would Generative AI Require New Hardware Platforms?

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

The first covered building generative AI apps securely with Amazon Bedrock , while the second explored building custom generative AI applications with Amazon Bedrock. Generative AI solutions that use Amazon Bedrock Agents can handle complex tasks by combining an LLM with other tools.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. Another best practice is to use generative AI to accelerate the development and maintenance of this code. Building agents that run tasks requires function definitions and Lambda functions.

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ODSC - Open Data Science

OCTOBER 26, 2023

With the rapid advance of AI across industries, responsible AI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. The reason for this is pretty easy to understand.

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John Snow Labs

JANUARY 25, 2024

John Snow Labs , the AI for healthcare company, has completed its highest growth year in company history. Attributed to its state-of-the-art artificial intelligence (AI) models and proven customer success, the focus on generative AI has gained the company industry recognition.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks.

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AWS Machine Learning Blog

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Which LLM you want to use in Amazon Bedrock for text generation.

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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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AWS Machine Learning Blog

OCTOBER 11, 2024

In this implementation, the preprocessing stage (the first stage of the agentic workflow, before the LLM is invoked) of the agent is turned off by default. For details about using guardrails to safeguard your generative AI applications, refer to Stop harmful content in models using Amazon Bedrock Guardrails.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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Topbots

JULY 29, 2024

Generative AI is a rapidly evolving field with a plethora of fascinating applications, from creating realistic images and videos to generating human-like text and beyond. As the technology advances, the demand for skilled professionals who can harness the power of generative AI is growing exponentially.

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Towards AI

OCTOBER 5, 2023

Last Updated on October 6, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. As generative AI becomes increasingly prevalent, the responsibility to wield its power ethically and sustainably has become a paramount concern. This member-only story is on us. Upgrade to access all of Medium.

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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

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

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AWS Machine Learning Blog

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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John Snow Labs

MAY 21, 2024

This combination of nine benchmarks challenges AI models to answer thousands of medical licensing exam questions (MedQA), biomedical research questions (PubMedQA), and college-level exams in anatomy, genetics, biology, and medicine (MMLU). Recent research shows that lack of accuracy was the most concerning roadblock to Generative AI adoption.

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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. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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Google Research AI blog

MAY 18, 2023

We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. In this blog post, we review recent PAIR work that is changing the way we engage with AI.

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AWS Machine Learning Blog

OCTOBER 15, 2024

Now, with the advent of large language models (LLMs), you can use generative AI -powered virtual assistants to provide real-time analysis of speech, identification of areas for improvement, and suggestions for enhancing speech delivery. The generative AI capabilities of Amazon Bedrock efficiently process user speech inputs.

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AWS Machine Learning Blog

OCTOBER 17, 2023

To tackle this challenge, Amazon Pharmacy built a generative AI question and answering (Q&A) chatbot assistant to empower agents to retrieve information with natural language searches in real time, while preserving the human interaction with customers. This corresponds to the second step in the RAG pattern—the generative step.

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ODSC - Open Data Science

OCTOBER 16, 2024

To stay ahead, it’s crucial to understand emerging LLM trends. The upcoming ODSC West 2024 conference provides valuable insights into the key trends shaping the future of LLMs. Here are 8 emerging LLM trends to watch. The past few weeks alone have seen major announcements from OpenAI (o1), Meta (Llama 3.2), Microsoft (phi 3.5

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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

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. You can use supervised fine-tuning based on your LLM to improve the effectiveness of text-to-SQL.

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Flipboard

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

From internal knowledge bases for customer support to external conversational AI assistants, these applications use LLMs to provide human-like responses to natural language queries. This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. are harnessed to channel LLMs output. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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IBM Journey to AI blog

JULY 23, 2024

collection of multilingual large language models (LLMs). comprises both pretrained and instruction-tuned text in/text out open source generative AI models in sizes of 8B, 70B and—for the first time—405B parameters. The 405B can generate high quality task- and domain-specific synthetic data for training another LLM.

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Marktechpost

DECEMBER 12, 2023

Chatbots often use large language models (LLMs), known for their many useful skills, including natural language processing, reasoning, and tool proficiency. They propose distinct guidelines for labeling LLM output (responses from the AI model) and human requests (input to the LLM).

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

We aim to target and simplify them using generative AI with Amazon Bedrock. The application generates SQL queries based on the user’s input, runs them against an Athena database containing CUR data, and presents the results in a user-friendly format. split("SQLQuery:")[1].strip() split("SQLQuery:")[1].strip()

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