Auto-complete LLM Responsible AI 
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.
AWS Machine Learning Blog
MAY 22, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.
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AWS Machine Learning Blog
JUNE 20, 2024
It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. Generation is the process of generating the final response from the LLM.
AWS Machine Learning Blog
SEPTEMBER 13, 2024
Configure the solution Complete the following steps to set up the solution: Create an Athena database and table to store your CUR data. An AWS compute environment created to host the code and call the Amazon Bedrock APIs. Make sure the necessary permissions and configurations are in place for Athena to access the CUR data stored in Amazon S3.
The MLOps Blog
JUNE 27, 2023
Can you see the complete model lineage with data/models/experiments used downstream? Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. Is it accessible from your language/framework/infrastructure, framework, or infrastructure?
AWS Machine Learning Blog
MAY 7, 2024
When the job is complete, you can obtain the raw transcript data using GetTranscriptionJob. Embed text (to compare if the text data is represented well with the LLM or multimodal model, we also embed them with Amazon Titan Multimodal): TMM_rek_text_emb – We embed the Amazon Rekognition text as multimodal embeddings without the images.
Snorkel AI
JUNE 7, 2023
The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s
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