AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

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AWS Machine Learning - AI

MAY 30, 2024

With Bedrock’s serverless experience, one can get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into applications using the AWS tools without having to manage any infrastructure. However, for this use case, the complexity associated with fine-tuning and the costs were not warranted.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

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AWS Machine Learning - AI

APRIL 23, 2024

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

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AWS Machine Learning - AI

APRIL 8, 2024

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. Download press releases to use as our external knowledge base. Query the knowledge base. Deploy an embedding model from the Amazon SageMaker JumpStart hub.

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AWS Machine Learning - AI

JUNE 26, 2024

To add to these challenges, they must think critically under time pressure and perform their tasks quickly to keep up with the pace of the market. Both the action groups and knowledge base are optional and not required for the agent itself. The following diagram illustrates the technical architecture.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. The LLM generated text, and the IR system retrieves relevant information from a knowledge base.

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AWS Machine Learning - AI

MAY 14, 2024

Using evaluations and critiques of its outputs, a generative model can continue to refine and improve its performance. The entire conversation in this use case, starting with generative AI and then bringing in human agents who take over, is logged so that the interaction can be used as part of the knowledge base.

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AWS Machine Learning - AI

FEBRUARY 28, 2024

With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation. Demonstrating exceptional performance, LLMs are now capable of generating accurate SQL queries from natural language descriptions. This iteration can be performed multiple times.

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AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

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Codegiant

JULY 2, 2020

You can use live logs to see how your builds perform in real-time through colors and emoji. Also, GitHub’s storage limit on the free plan can be a bit low. Store large files and rich media in Git LFS (Large File Storage). Analyze your tasks’ performance. NET, and a few other languages. LFS support. Source code search.

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Codegiant

JULY 18, 2020

Free and unlimited GitHub private repositories, however, with limited GitHub repository storage size. BitBucket Data Center comes with: Git based code hosting and collaboration for teams. Smart mirroring for performance across geographies. BitBucket Server comes with: Git based code hosting and collaboration for teams.

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AWS Machine Learning - AI

SEPTEMBER 18, 2024

We recommend that customers test both Sonnet and Haiku to determine the optimal balance between performance and cost for their specific use case. All the information retrieved from Amazon Bedrock Knowledge Bases is provided with citations to improve transparency and increase accuracy. You then need to create your knowledge base.

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AWS Machine Learning - AI

AUGUST 2, 2024

An approach to product stewardship with generative AI Large language models (LLMs) are trained with vast amounts of information crawled from the internet, capturing considerable knowledge from multiple domains. However, their knowledge is static and tied to the data used during the pre-training phase.

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AWS Machine Learning - AI

JULY 10, 2024

They need a full range of capabilities to build and scale generative AI applications that are tailored to their business and use case —including apps with built-in generative AI, tools to rapidly experiment and build their own generative AI apps, a cost-effective and performant infrastructure, and security controls and guardrails.

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Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. Designed to handle big data, the platform addresses problems associated with data lakes — such as lack of data integrity , poor data quality, and low performance compared to data warehouses. Databricks lakehouse platform architecture.

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