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Based on our record, AWS Lambda should be more popular than Groq Chat. It has been mentiond 297 times since March 2021. 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.
This is the architecture post-mortem. I built it on weekends. It runs in Docker. It cost me exactly $0 in LLM credits during development because Groq's free tier is generous and Ollama works as a swap-in. The repo is here โ issues and PRs welcome. - Source: dev.to / 13 days ago
Intelligence Engine: Groq API (Utilizing Llama-3-70b for lightning-fast inference). - Source: dev.to / about 2 months ago
A Python-based AI customer support agent that retains memory across sessions using Hindsight โ an agent memory system built by Vectorize. The agent runs on Groq for fast, free LLM inference. - Source: dev.to / about 2 months ago
What limits LLM inference accelerators? I heard about Groq (https://groq.com/) not sure how much it pushes away the problem. - Source: Hacker News / 3 months ago
Intelligence: Groq SDK (running Llama 3.3 70B) for near-instant response generation. - Source: dev.to / 3 months 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 2 months 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
OpenAI - GPT-3 access without the wait
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
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.
Ollama - The easiest way to run large language models locally
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.