Flipboard

NOVEMBER 20, 2023

Using notebooks for RAG-based question answering Implementing RAG typically entails experimenting with various embedding models, vector databases, text generation models, and prompts, while also debugging your code until you achieve a functional prototype. Deploy the BAAI/bge-small-en-v1.5 embeddings. Python 3.10 transformers==4.33.0

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How to Learn Machine Learning

JANUARY 21, 2023

This means deciding on the topics, questions, and answers that the chatbot will respond to. Next, you need to write the code that will power the chatbot. You should also use software development tools that allow you to easily debug and adjust your code as you go. You can create your own or use existing datasets.

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AWS Machine Learning Blog

MARCH 28, 2024

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique. We use an ml.t3.medium

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Google Research AI blog

FEBRUARY 28, 2023

Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. We partnered with ENS , a university in France, to help fund scholarships for students to train through research. You can find other posts in the series here.)

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Towards AI

FEBRUARY 13, 2024

This article aims to demonstrate how generative AI models can provide a fresh lens for aggregating and summarizing the collective voices on a single topic, like a movie. In this project, we code in Python. The end product?

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AWS Machine Learning Blog

AUGUST 15, 2023

In the following code, we use VideoFileClip from the library moviepy to run this job: from moviepy.editor import VideoFileClip video = VideoFileClip(video_path) video.audio.write_audiofile(audio_path) Transcribe audio data When the audio data is ready, we can choose from our two transcribing options. Each paragraph focuses on the same topic.

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Smart Data Collective

AUGUST 2, 2019

to align its website accessibility requirements with those of other countries, including those of the European Commission ( EN 301 509 ) and the World Wide Web Consortium ( W3C ) Web Content Accessibility Guidelines ( WCAG ). Accessibility interfaces that can solve up to 20% of website accessibility issues with a single line of JS code.

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AWS Machine Learning Blog

FEBRUARY 9, 2024

The code for the solution and an AWS Cloud Development Kit (AWS CDK) template is available in the GitHub repository. The AWS CDK code is available in the GitHub repository. See the following code: self.bedrock_policy = iam.Policy( scope=self, id=f"{self.id}_policy_bedrock",

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How to Learn Machine Learning

APRIL 23, 2023

Examples of the capabilities of General AI Imagination: General AI can theoretically be able to read and understand human-generated code and make it better. La entrada Narrow AI vs General AI and Super AI: How do they differ? se publicó primero en How to Learn Machine Learning.

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Hacker News

FEBRUARY 2, 2023

The closest it gets is a chapter on CP violation (AKA time-reversal violation)—a longtime favorite topic of mine—but from a very particle-physics point of view. The physicists I was around mostly weren’t too interested in such topics—though Richard Feynman was something of an exception. code 10)”. No statistical mechanics.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

No-code fine-tuning via the SageMaker Studio UI In SageMaker Studio, you can access Llama 2 models via SageMaker JumpStart under Models, notebooks, and solutions , as shown in the following screenshot. Identify the training job name and substitute it in the preceding code. We discuss both methods in this section.

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