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# Current LLM tech stack
- URL: https://www.workroom-productions.com/current-llm-tech-stack/
- Published: 2024-11-29T23:39:39.000Z
- Updated: 2024-11-29T23:39:39.000Z
- Description: Stuff I use to generate stuff
- Author: James Lyndsay
- Tags: Articles, AI_Testing, TDDwithAI_workshop, Tools, Toys

*because people ask, not because I recommend*

November 2024: 

For coding, I use [Cody](https://sourcegraph.com/cody) in my local IDE VSCode and whatever is on offer in cloud IDEs (recently [CoPilot](https://github.com/features/copilot) and [ReplitAI](https://replit.com/ai)). 

For getting my code to talk with LLMs, I use [Simon Willison's llm](https://llm.datasette.io/en/stable/). 

For running models in the cloud, I use [Replicate](https://replicate.com). I've used [Ollama](https://replicate.com) locally – but honestly I haven't touched a local model recent months. I use [DrawThings](https://drawthings.ai) to explore image-making locally (but while generative, that's not using an LLM).

For general stuff (including explaining code and learning new stuff), I currently use [msty](https://msty.app/), which allows chat-like interfaces with several AIs via their API. This lets me set up the context for a chat with system prompts, and handily means that I can pay-as-I-go with AIs, which is rather cheaper for me than a monthly subscription. 

I'm currently using [Claude-3.5-Sonnet](https://www.anthropic.com/claude/sonnet), [GPT 4o](https://openai.com/index/hello-gpt-4o/) and [GPT 4o-mini](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) via their API