Ollama
LM Studio
LangChain
Jan.ai
Hugging Face
GPT4All
Claude AI
AnythingLLM
AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
Ollama AWS LambdaOllama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
AWS Lambda might be a bit more popular than Ollama. We know about 297 links to it since March 2021 and only 280 links to Ollama. 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.
Ollama lets you run open source models locally. After installing it, you have a server running at http://localhost:11434. - Source: dev.to / 5 days ago
It began as a small experiment on my base Mac mini. I pulled Qwen through Ollama just to see how capable the model would be running directly on a local machine. The results were far better than I expected. Good enough that I stopped thinking of it as a toy and started thinking about production. - Source: dev.to / 6 days ago
Try out this sample that embeds and loads data into the emulator. It uses LangChain, a popular open-source framework for building AI applications, and Ollama, a tool for running open-source models locally. - Source: dev.to / 10 days ago
A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 11 days ago
I uploaded a 40-page PDF of an internal API spec, asked "what's the rate limit for the search endpoint?", and got back: "100 requests per minute per API key, with bursts up to 200. See section 4.2 of the document." With citations. In about three seconds. The whole stack runs on my laptop. It cost me $0 in LLM credits during development because Ollama is free and local, and the embedder I used is also free and... - Source: dev.to / 12 days ago
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
LM Studio - Discover, download, and run local LLMs
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
LangChain - Framework for building applications with LLMs through composability
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.
Jan.ai - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAIโs GPT-4 or Groq.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.