Posts tagged: llm

External Link r.jina.ai jina reader is a pretty sweet tool to convert a site to ai compatible text. There are other web to markdown types of tools, but the convenience of just adding r.jina.ai to the front of any page makes it so easy to grab for one page of docs.

the racked up 4 framework mainboards sound wild. connected with usb4 and 5gig ethernet. they said they can run big models quantized down from 600Gb to within the 512GB limit they have. This seems wild to bring this level of capability to such a low price point. It will be really cool to start to see demos come out.

OpenTools | The API for LLM tool use One API to use any LLM with every MCP tool OpenTools · opentools.com OpenTools is an index for mcp servers to work with new agentic workflows like roo code and windsurf.

Damn prime makes an interesting point near then end of this video. He’s seen a bunch of people able to just throw down charts and shit at their company and end up being “the coding guy” cause they proompted something once. In a way I can relate, I got into software in a similar way, but at a time that it took a lot more hard work, understanding, and copy past from the right stack overflow. Based on some of the people around me at the time I can only imagine how some people must feel like they got pushed into it without wanting it, and now are building something they don’t know anything about with no care about it or care to build any expertise. Is the future proompted charts from enterprise chatgpt or do we only continue growing more need for software from here.

There is a glimmer of hope out there that normal people can scrap together enough gpu to really run the latest models themselves. The ui really appears to be having huge leaps forward such that doing things like rag is no longer such a research project that it was just a few years ago. So excited to see Prime go through this homelab exercise.

Damn these deepseek memes go hard. Wild to see openai get played by their own game. It’s crazy that the normie news that I have seen on deepseek shows that the Chinese made what the Americans did at a fraction of the price, without taking notice that they are building on the shoulders of openai.

👏👏👏 This one is really good. I’m right there with him on most of this. I am very hesitant on subscription models, and all the ai tools feel like they are getting ready to be the next round of death by a thousand cuts, this time with pretty limited free tier and relatively high prices to run. I’m sure we will see companies get taken by huge bills soon by building off of someone else’s service. On the flip side I’m definitely the guy that gets in a rut of just copy paste to the ai, wait for codeium to to inject. I feel like I have issues of momentum more than anything. When I’m on one side or the other I tend to stick it out for too long, but less so on going without because that llm drug is calling you when you hit a hard problem. I’m excited to see him build out a homelab for llm stuff that he mentioned at the top. I’m interested, but probably not building one out for myself until we start to see some cheaper maybe used hardware to do it.

Don’t stop learning! Stop trying because you have a doomer outlook on ai, llms, industry and think they are taking over. If you have no hope for the future, if you stop now you are cementing in that you will be no good and the ai will be better. Many, maybe most of us in this industry go here by hard work, long nights of learning, trying to solve problems that our job had. If llms take over then the world is going to be a whole lot different, it will be a world you cannot predict or plan for. For now put your head down and succeed in the world we have today. TEEJ has some great thoughts on this whole sentiment, put this on for you morning walk or whatever you do.

Quick Start - kotaemon Docs cinnamon.github.io interesting UI for RAG based workflows, i.e. chatting with your documents. It looks like it can run a number of models, feels like ollama with RAG and a nice web ui.

Looks like a great start to a rules file for fastapi. Place the happy path last in the function for improved readability. I have never heard anyone say this. It feels weird to me. The other early return, find and handle errors early all make sense to me, but happy path last is new to me.

Generate Custom.cursorrules for Your Project Based on Community Examples expert led courses for front-end web developers and teams that want to level up through straightforward and concise lessons on the most useful tools available. egghead · egghead.io Really interesting way to generate a rules file for agentic workflows based on your current repo. John uses gitingest here, looks like a fantastic tool, but probably not useful for most private repos. I’m sure you can replicate the same thing in a private repo wtih a small amount of effort the few times you need to do it. gitingest looks like a great way to pull in some extra context for some open source dependencies that you have though.

GitHub - coderamp-labs/gitingest: Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase - coderamp-labs/gitingest GitHub · github.com Gitingest has a python package on pypi that you can run with uvx, and it accepts the same arguments as the web version, right in your terminal

Gitingest Replace gitingest.com Replace hub with ingest in any github and get a prompt friendly codebase ready to feed into any llm. It combines the entire codebase, based on a gitignore style glob that you pass in, into a single TXT file.

Replicate - Run AI with an API Run open-source machine learning models with a cloud API replicate.com This is so easy compared to self hosting stable diffusion yourself. It even has a nice api that you can hit with curl or python. The pricing seems competitive as well. Bookmarking this to try next time I need something like it.

Use an llm to automagically generate meaningful git commit messages I harper.blog This is pretty sick, I wanted this early on when I was making lockhart. I wanted to do the git hook thing but could not figure it out and did not know that was a hook that I could use. Git Hooked Then I remembered! Git hooks! Lol. Why would I have that in my brain - who knows! I asked claude again, and they whipped up a simple script that would act as a hook that triggers with the prepare-commit-msg event. This is awesome, cuz if you want to add a git message, you can skip the hook. But if you are lazy, you exclude the message and it will call the LLM. Simon Willison’s llm cli comes in clutch here, it has such a good intereface to allow a prompt to be piped in, but the system prompt be set by -s. I love hacking on projects, but often I am super bad at making commits that make sense. I completely relate to this statement, and this is why I am trying it.

This really makes me want to try Dolphin Mixtral with ollama now. It looks very impressive from this video. The ability to keep adding features before becoming confused is though with a lot of these llms. Being chat based, this is not a co pilot replacement. I was really hoping for an in line co pilot like tool that I can run locally. I have not used co pilot yet, but I have had great luck with codeium.

GitHub - charmbracelet/mods: AI on the command line AI on the command line. Contribute to charmbracelet/mods development by creating an account on GitHub. GitHub · github.com This is a pretty sweet interface into llms. I used it a bit with my son tonight while he was asking me for datapack ideas. You can continue the conversation with a You can pass it some data

This seems like a promising tool to use with ollama.

Ollama Ollama is the easiest way to automate your work using open models, while keeping your data safe. ollama.ai ollama is the easiest to get going local llm tool that I have tried, and seems to be crazy fast. It feels faster than chat gpt, which has not been the experience I have had previously with running llm’s on my hardware.