AWS Machine Learning Blog

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. Which LLM you want to use in Amazon Bedrock for text generation.

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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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LLM Large Language Models Natural Language Processing Chatbots 111

NVIDIA

MAY 1, 2024

Say It Out Loud ChatRTX uses retrieval-augmented generation , NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring chatbot capabilities to RTX-powered Windows PCs and workstations. The latest version adds support for additional LLMs, including Gemma, the latest open, local LLM trained by Google.

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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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Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. In comparison to the more powerful LLMs, this severely restricts their potential.

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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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AWS Machine Learning Blog

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations.

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LLM Generative AI Prompt Engineering Prompt Engineer 119

AssemblyAI

MAY 23, 2023

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. Large Language Models In recent years, LLM development has seen a significant increase in size, as measured by the number of parameters. Determining the necessary data for training an LLM is challenging.

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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 28, 2023

This means companies need loose coupling between app clients (model consumers) and model inference endpoints, which ensures easy switch among large language model (LLM), vision, or multi-modal endpoints if needed. When the user makes a request using the AI Gateway, it’s routed to Amazon Cognito to determine access for the client.

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ODSC - Open Data Science

FEBRUARY 16, 2024

As you’ve likely already seen out in the wild, many businesses are interested in building question-answering tools, chatbots, conversational AI, recommender systems, and diving into customer service applications. Prompt engineering allows for building chatbots that engage in natural, engaging conversations.

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Prompt Engineering Prompt Engineer Large Language Models Chatbots 52

AWS Machine Learning Blog

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. 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.

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ODSC - Open Data Science

FEBRUARY 5, 2025

She provided a detailed breakdown of AI agent architecture, emphasizing components such as memory, knowledge bases, and tool integration. A key focus was on the paradigm shift from traditional conversational AI to agentic applications capable of orchestrating complex tasks autonomously.

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Topbots

JULY 29, 2024

Here are the courses we cover: Generative AI for Everyone by DeepLearning.ai Introduction to Generative AI by Google Cloud Generative AI: Introduction and Applications by IBM ChatGPT Promt Engineering for Developers by OpenAI and DeepLearning.ai LangChain for LLM Application Development by LangChain and DeepLearning.ai

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Generative AI Large Language Models Prompt Engineering Prompt Engineer 52

AWS Machine Learning Blog

OCTOBER 8, 2024

Sonnet on Amazon Bedrock, we build a digital assistant that automates document processing, identity verifications, and engages customers through conversational interactions. Such frameworks make LLM agents versatile and adaptable to different use cases. Using Anthropic’s Claude 3.5

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Automation Prompt Engineering Prompt Engineer Machine Learning 106

Snorkel AI

JUNE 7, 2023

LLMOps: Making LLM Applications Production-Grade Matei Zaharia, co-founder and chief technologist at Databricks , discussed techniques for transforming large language models into reliable, production-grade applications. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s

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Data Scientist Large Language Models Machine Learning Data Science 52

Snorkel AI

JUNE 7, 2023

LLMOps: Making LLM Applications Production-Grade Matei Zaharia, co-founder and chief technologist at Databricks , discussed techniques for transforming large language models into reliable, production-grade applications. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s

Data Scientist 52

Data Scientist Large Language Models Machine Learning Data Science 52

Topbots

DECEMBER 19, 2023

If this in-depth content is useful for you, subscribe to our AI mailing list to be alerted when we release new material. ​The This method produced a benchmark dataset with variability in LLM safety judgments across various demographic groups of raters (2.5 million ratings in total).

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Marktechpost

JULY 15, 2023

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. In recent years, the landscape of conversational AI has evolved drastically, especially with the launch of ChatGPT.

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Marktechpost

SEPTEMBER 18, 2024

Mistral AI recently announced the release of Mistral-Small-Instruct-2409 , a new open-source large language model (LLM) designed to address critical challenges in artificial intelligence research and application. As an instruct-tuned model, it has been fine-tuned to follow instructions and generate accurate, context-aware responses.

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Natural Language Processing Large Language Models AI AI 122

ODSC - Open Data Science

MAY 11, 2023

The new feature uses the latest generative AI capabilities to allow authors to create entire topics from a simple description, including relevant trigger phrases (used for NLU), questions, messages, and conditional logic. This is something that Microsoft has worked to address, by creating responsible AI by design.

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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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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. To learn more about using agents to orchestrate workflows, see Automate tasks in your application using conversational agents.

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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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Flipboard

NOVEMBER 26, 2024

Hallucinations in large language models (LLMs) refer to the phenomenon where the LLM generates an output that is plausible but factually incorrect or made-up. The retriever module is responsible for retrieving relevant passages or documents from a large corpus of textual data based on the input query or context.

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Large Language Models LLM Natural Language Processing Responsible AI 156

AWS Machine Learning Blog

OCTOBER 21, 2024

Whether you are just starting to explore the world of conversational AI or looking to optimize your existing agent deployments, this comprehensive guide can provide valuable long-term insights and practical tips to help you achieve your goals. Amazon Bedrock features help you develop your responsible AI practices in a scalable manner.

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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. The generative AI–based application builder assistant from this post will help you accomplish tasks through all three tiers.

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Generative AI Large Language Models Explainability LLM 90