yogi4289's starred repositories
Knowledgebase-embedding
Knowledgebase embedding with your company data
llamatutor
An AI personal tutor built with Llama 3.1
llama_parse
Parse files for optimal RAG
radicalbit-ai-monitoring
A comprehensive solution for monitoring your AI models in production
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
ai-artifacts
Hackable open-source version of Anthropic's AI Artifacts chat
e2b-cookbook
Examples of using E2B
aws-lambda-env-modeler
AWS-Lambda-Env-Modeler is a Python library designed to simplify the process of managing and validating environment variables in your AWS Lambda functions.
ScoutSuite
Multi-Cloud Security Auditing Tool
Scrapegraph-ai
Python scraper based on AI
LLM-PlayLab
This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and impact of these models across various applications.
guidance-for-low-latency-high-throughput-model-inference-using-amazon-sagemaker
This Guidance shows how to use Amazon SageMaker to support high-throughput model inferencing workloads like programmatic advertising and real-time bidding (RTB).
awesome-foundation-model-leaderboards
A curated list of awesome leaderboards for foundation models
LLMs-in-Finance
LLMs in Finance - Generative AI - AI Agents
amazon-bedrock-multimodal-demo-app
Streamlit demo application for Amazon Bedrock
custom-web-experience-with-amazon-q-business
Build a custom user interface for more tailored, controlled, and consolidated interactions with Amazon Q business.
llm-twin-course
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 11 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
instructor
structured outputs for llms
mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
quix-streams
100% Python stream processing with Streaming DataFrames
guidance-for-payment-systems-using-event-driven-architecture-on-aws
This guidance focuses on the part of payments processing systems that post payments to recieving accounts. In this phase, inbound transactions are evaluated, have accounting rules applied to them, then are posted into customer accounts.