AWS Machine Learning - AI

DECEMBER 22, 2023

Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment. The Lambda function associated with the Amazon Lex chatbot contains the logic and business rules required to process the user’s intent. A Lambda layer for Amazon Bedrock Boto3, LangChain, and pdfrw libraries.

Generative AI 113

Generative AI Lambda AWS Technical Review 113

AWS Machine Learning - AI

MAY 7, 2024

For a generative AI powered Live Meeting Assistant that creates post call summaries, but also provides live transcripts, translations, and contextual assistance based on your own company knowledge base, see our new LMA solution. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/.

Artificial Inteligence 119

Artificial Inteligence Meeting Generative AI AWS 119

AWS Machine Learning - AI

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Artificial Inteligence 116

Artificial Inteligence Analytics Knowledge Base Lambda 116

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. It is pre-trained on two trillion text tokens, and intended by Meta to be used for chat assistance to users. Download press releases to use as our external knowledge base.

Artificial Inteligence 114

Artificial Inteligence Applications Knowledge Base AWS 114

AWS Machine Learning - AI

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively.

Generative AI 102

Generative AI AWS Artificial Inteligence Enterprise 102

Perficient

AUGUST 20, 2024

AI foundational models are pre-trained models designed to serve as the basis for various AI applications. These models are trained on extensive datasets and can be fine-tuned for specific tasks, such as natural language processing (NLP), image recognition, and more. They are trained on vast datasets and optimized for performance.

AWS 52

AWS Artificial Inteligence Lambda Training 52

AWS Machine Learning - AI

OCTOBER 7, 2024

You can use Amazon Kendra to quickly build high-accuracy generative AI applications on enterprise data and source the most relevant content and documents to maximize the quality of your Retrieval Augmented Generation (RAG) payload, yielding better large language model (LLM) responses than using conventional or keyword-based search solutions.

Generative AI 92

Generative AI Artificial Inteligence AWS Lambda 92

AWS Machine Learning - AI

DECEMBER 22, 2023

on_output() ) By reaching satisfactory evaluations for this triad, you can make a nuanced statement about your application’s correctness; this application is verified to be hallucination free up to the limit of its knowledge base. train_and_test_dataset["train"].to_json("train.jsonl") train_and_test_dataset["train"].to_json("train.jsonl")

Artificial Inteligence 108

Artificial Inteligence Training Metrics Off-The-Shelf 108

AWS Machine Learning - AI

MARCH 14, 2024

We use AWS Lambda as our orchestration function responsible for interacting with various data sources, LLMs and error correction based on the user query. The prompt included instructions to use only the information retrieved from Amazon Kendra and not rely on data from the LLM pre-training.

Generative AI 115

Generative AI Artificial Inteligence Virtualization UI/UX 115

AWS Machine Learning - AI

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. Instead, after a summary is produced and delivered to the seller, the generated content is permanently deleted.

Generative AI 114

Generative AI AWS Artificial Inteligence Technical Review 114

AWS Machine Learning - AI

OCTOBER 2, 2024

You can securely integrate and deploy generative AI capabilities into your applications using services such as AWS Lambda , enabling seamless data management, monitoring, and compliance (for more details, see Monitoring and observability ). Provide ongoing training to employees on compliance requirements and best practices in AI governance.

Generative AI 110

Generative AI Artificial Inteligence AWS Government 110

AWS Machine Learning - AI

SEPTEMBER 12, 2024

However, they can sometimes hallucinate or produce inaccurate responses when answering questions that they haven’t been trained on. In addition, Meta improved post-training procedures that substantially reduced false refusal rates, improved alignment, and increased diversity in model responses.

Artificial Inteligence 120

Artificial Inteligence Applications Generative AI AWS 120

AWS Machine Learning - AI

OCTOBER 1, 2024

If you want to use a Retrieval Augmented Generation (RAG) approach, you can use Amazon Bedrock Knowledge Bases to securely connect FMs in Amazon Bedrock to your company data.

Serverless 77

Serverless Artificial Inteligence AWS Software Review 77

AWS Machine Learning - AI

DECEMBER 26, 2024

Model customization This refers to choosing the appropriate techniques to customize the FMs with training data to optimize the performance and cost-effectiveness according to business-specific use cases. The vectors and data stored in a vector database are often called a knowledge base. These costs are based on assumptions.

Generative AI 129

Generative AI AWS Artificial Inteligence Applications 129

AWS Machine Learning - AI

NOVEMBER 30, 2023

Leading AI companies like Anthropic have selected AWS as their primary cloud provider for mission-critical workloads, and the place to train their future models. The bottom layer is the infrastructure to train Large Language Models (LLMs) and other Foundation Models (FMs) and produce inferences or predictions.

Generative AI 129

Generative AI AWS Artificial Inteligence Software Review 129