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OpenAI
Hugging Face
Ollama
Gemini
Eden AI
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Getwebstack
MarsX
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Groq Chat
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We send the question + a compact JSON summary of the user's profile to Llama 3.3 70B (via Groq for latency โ <400ms P95). The system prompt forces a specific output format: {answer: "3", confidence: 0.9} for numeric inputs, {answer: "Yes"} for booleans. Confidence < 0.7 means the bot skips the question (asks the user next session), rather than lie to LinkedIn. - Source: dev.to / 1 day ago
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 / 20 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
OpenAI - GPT-3 access without the wait
MarsX - MarsX leverages the power of AI to help users build mobile and web applications using code and no-code technology. MarsX is highly accessible, allowing even non-developers and those with zero building and coding experience to create their own mobile
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Ollama - The easiest way to run large language models locally
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
Eden AI - Regrouping the best AI APIs for 10mn integration in your code