AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks.

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Heartbeat

OCTOBER 19, 2023

An Introduction to Large Language Models (LLMs) Image credit: shaip.com In the rapidly evolving landscape of artificial intelligence and natural language processing, large language models (LLMs) have emerged as powerful tools capable of understanding, generating, and manipulating human language with unprecedented proficiency.

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IBM Journey to AI blog

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

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AWS Machine Learning Blog

JUNE 13, 2023

The latest offering for generative AI from AWS is Amazon Bedrock , which is a fully managed service and the easiest way to build and scale generative AI applications with foundation models. AWS also offers foundation models through Amazon SageMaker JumpStart as Amazon SageMaker endpoints. LangChain requires an LLM to be defined.

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Heartbeat

FEBRUARY 8, 2024

The recent rise of Large Language Models (LLMs) has been a game changer for the ChatBot industry. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT. The rest are optional like prompt template, metadata, tags, etc.

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The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Flexibility, speed, and accessibility : can you customize the metadata structure? Is it fast and reliable enough for your workflow?

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Heartbeat

JANUARY 26, 2024

Memory allows the system to remember previous interactions, process abbreviations, and perform co-reference resolution, ensuring consistent, context-aware conversations. The Memory Challenge in Large Language Models Large language models like Lang Chain do not have their own memory.

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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. However, bringing such solutions and models to the business-as-usual operations is not an easy task. Only prompt engineering is necessary for better results.

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Flipboard

DECEMBER 6, 2023

This was respected throughout the process of deciding on the approach, architecture, choice of technology, and solution-specific elements. Experimentation and challenges It was clear from the beginning that to understand a human language question and generate accurate answers, Q4 would need to use large language models (LLMs).

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Chatbots LLM Prompt Engineer Prompt Engineering 130

AWS Machine Learning Blog

OCTOBER 24, 2023

We discuss IDP in detail in our series Intelligent document processing with AWS AI services ( Part 1 and Part 2 ). In this post, we discuss how to extend a new or existing IDP architecture with large language models (LLMs). The following code block shows an example of how this is done using an LLM and prompt engineering.

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AWS Machine Learning Blog

APRIL 16, 2024

Then we show how you can enhance the in-notebook SQL experience using Text-to-SQL capabilities provided by advanced large language models (LLMs) to write complex SQL queries using natural language text as input. The way you craft a prompt can profoundly influence the nature and usefulness of the AI’s response.

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Data Scientist Generative AI ML Machine Learning 84