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Tag: HuggingFace

Evaluate large language models for quality and responsibility | Amazon Web Services

The risks associated with generative AI have been well-publicized. Toxicity, bias, escaped PII, and hallucinations negatively impact an organization’s reputation and damage customer trust....

Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine | Amazon Web Services

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. In addition,...

Text embedding and sentence similarity retrieval at scale with Amazon SageMaker JumpStart | Amazon Web Services

Text vectors or embeddings are numerical vector representations of text that are generated by large language models (LLMs). After LLMs are fully pre-trained on...

Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation | Amazon Web Services

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories,...

Fine-tune Whisper models on Amazon SageMaker with LoRA | Amazon Web Services

Whisper is an Automatic Speech Recognition (ASR) model that has been trained using 680,000 hours of supervised data from the web, encompassing a range...

Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker | Amazon Web Services

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. One of...

Stream large language model responses in Amazon SageMaker JumpStart | Amazon Web Services

We are excited to announce that Amazon SageMaker JumpStart can now stream large language model (LLM) inference responses. Token streaming allows you to see...

Dialogue-guided visual language processing with Amazon SageMaker JumpStart | Amazon Web Services

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing....

Deploy and fine-tune foundation models in Amazon SageMaker JumpStart with two lines of code | Amazon Web Services

We are excited to announce a simplified version of the Amazon SageMaker JumpStart SDK that makes it straightforward to build, train, and deploy foundation...

Embrace Your Inner Witch with AI, Now Fluent in Occult Sciences – Decrypt

Imagine this: It's a chilly Halloween night, and instead of asking Siri where the nearest pumpkin patch is, you're inquiring about the secrets of...

Controversy Erupts as Disney’s Loki Poster Spark AI Backlash

Disney’s recent promotional tactic for Loki’s second season has reignited the debate on using AI creatively. While technology promises unmatched efficiency, its use in...

Whisper models for automatic speech recognition now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using Amazon SageMaker JumpStart. Whisper is a pre-trained model for...

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