pejorative-compounds
amazon-bedrock-with-builder-and-command-patterns
pejorative-compounds | amazon-bedrock-with-builder-and-command-patterns | |
---|---|---|
7 | 15 | |
89 | 10 | |
- | - | |
0.0 | 6.1 | |
almost 2 years ago | 30 days ago | |
Jupyter Notebook | Java | |
MIT License | MIT No Attribution |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pejorative-compounds
- FLaNK Stack Weekly 23 Oct 2023
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Language! (and frequency)
OOP included only about 10% of the data, the full dataset is here.
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Reddit wirklich verstehen
Github: https://github.com/colinmorris/pejorative-compounds
- [OC] Frequency of compound insults (e.g. "poophead", "scumwad") in Reddit comments, organized by prefix and suffix
amazon-bedrock-with-builder-and-command-patterns
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Breaking News: AWS Bedrock Lands in Sydney
Amazon Bedrock
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Implementing semantic image search with Amazon Titan and Supabase Vector
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, Mistral AI, Stability AI, and Amazon. Each model is accessible through a common API which implements a broad set of features to help build generative AI applications with security, privacy, and responsible AI in mind.
- Amazon Bedrock
- Build an AI image catalogue! - Claude 3 Haiku
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Comprehending JIRA Tickets with Amazon Bedrock
For those keeping track, Amazon Bedrock became generally available in September of 2023. My team had access to a preview, so when the AWS Comprehend entity analysis did not lend itself well to my use case; and I didn't feel like training a model, I started to get familiar with Bedrock. The following post is a follow-on to the Community article above and fleshes out a few details that will help those newer to Amazon Bedrock navigate the product.
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Build a React genAI APP with Amazon Bedrock & AWS SDK
In this blog you will learn how to use Amazon Cognito credentials and IAM Roles to invoke Amazon Bedrock API in a react-based application with JavaScript and the CloudScape design system. You will deploy all the resources and host the app using AWS Amplify.
- Valida automáticamente tus respuestas de AWS Bedrock LLM
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AWS Bedrock Claude 2.1 - Return only JSON
Working with the AWS Bedrock API is an exhilarating experience! I came across an interesting business case where I needed to develop an AI MVP. The MVP generates JSON data based on a prompt and utilizes the anthropic.claude-v2:1 model in AWS Bedrock.
- Ask HN: Best Alternatives to OpenAI ChatGPT?
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Generative AI for Kids: PartyRock to the Rescue
PartyRock is a new site from AWS that allows you to build an AI-generated app in a playground powered by Amazon Bedrock. With no AWS account to setup and manage, and no coding skills required, it is an amazing way to try out imaginative ideas, and see what GenAI could do for you.
What are some alternatives?
libass - libass is a portable subtitle renderer for the ASS/SSA (Advanced Substation Alpha/Substation Alpha) subtitle format.
stable-audio-tools - Generative models for conditional audio generation
langchain4j-examples
llm-awq - AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
lang2sql - A tutorial for setting an SQL code generator with the OpenAI API
data-in-motion - This is repository for tutorials of Data In Motion starting with Data Distribution
spreadsheet - Spreadsheet Builder
localsend - An open-source cross-platform alternative to AirDrop
BedrockConnect - Join any Minecraft Bedrock Edition server IP on Xbox One, Nintendo Switch, and PS4/PS5
CodeGen - CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
optiagent - autonomous agents for competitive intelligence!