AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
privateGPT
ChatGPT
HuggingChat
GPT4All
Ollama
Poe
Perplexity.ai
Gemini
AWS Lambda privateGPTPrivateGPT is recommended for developers, privacy enthusiasts, businesses handling sensitive data, and researchers who need to ensure data confidentiality. It's also suitable for individuals looking to explore AI without sharing data with third-party services.
Based on our record, AWS Lambda seems to be a lot more popular than privateGPT. While we know about 297 links to AWS Lambda, we've tracked only 2 mentions of privateGPT. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure โ servers, networking, security, and scaling. - Source: dev.to / about 2 months ago
Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / about 1 month ago
To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / about 2 months ago
Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 2 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 3 months ago
Specialized projects that facilitate automatic document indexing and LLM invocation with the document content are gaining traction, for example PrivateGPT, QAnything, and LazyLLM. Another novelty is the integration of LLMs into applications and tools: The Semantic Kernel project aims to integrate LLM invocation during programming and inside the code itself. - Source: dev.to / over 1 year ago
PrivateGPT is a nice tool for this. It's not exactly what you're asking for, but it gets part of the way there. https://github.com/zylon-ai/private-gpt. - Source: Hacker News / over 2 years ago
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
ChatGPT - ChatGPT is a powerful, open-source language model.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
HuggingChat - Open source alternative to ChatGPT. Making the best open source AI chat models available to everyone.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
GPT4All - A powerful assistant chatbot that you can run on your laptop