Nicolay Gerold

The problem I've found with all of them is it is difficult to get consistent solid results that you would want to build around. Even listening to podcasts this seems to be a theme with the people at the forefront of MAS LLMs.

The LLM doesn’t call the tool directly (yet), but it does pass back to the application what functions should be called — and with which parameters. And, now, OpenAI lets multiple function calls be “invoked” at once.

But, this idea is not just about GPT. The open source world is moving towards this model as well.

This Is The Future…It’s Just Not Here... See more

limbic friction: when our autonomic nervous system isn’t where we want it to be (too tired or too alert). Too alert - double inhale, one exhale & dismaying gaze. Too tired - coffee. You want to match the arousal what you want to learn. Before any learning bout: how much limbic friction am I experiencing? How much do I need?

Tempo training feels different than we expect.

Not a lot of huffing of the breath.

No burning in the legs.

Heart rate responds slowly.

Aim for a 3 out of 5 subjective feeling - Zone 3 / Moderately-Hard

When we are learning, aim for 20-30 minutes total dose of work. Aim for a rest duration that is shorter than the work duration.

Sample sets would be:

4-6... See more

The ability to implement custom Polars plugins in Rust is invaluable. Since we process a lot of textual data for our NLP applications, we can create optimized functions to clean text or detect a language, with data being processed efficiently in batches. This level of customization is rarely seen in other typical processing engines and is even... See more

“I look for features from data scientists, [who have ideas of] things that are correlated with what I’m trying to predict.” We found that organizations explicitly prioritized cross-team collaboration as part of their ML culture. Md3 said: We really think it’s important to bridge that gap between what’s often, you know, a [subject matter expert] in... See more

The Mac Studio is an absolute monster for inferencing; but there are a couple of caveats.

• Its slower, pound for pound, than a 4090 when dealing with models the 4090 can fit in its VRAM. So a 13b model on the 4090 is almost twice as fast as it running on the M2.


• The M1 Ultra Mac Studio with 128GB costs far less ($3700 or so) and the inference speed is

... See more

memary: Open-Source Longterm Memory for Autonomous Agents

memary demo

Why use memary?

Agents use LLMs that are currently constrained to finite context windows. memary overcomes this limitation by allowing your agents to store a large corpus of information in knowledge graphs, infer user knowledge through our memory modules, and only retrieve... See more

We ship early

We constantly review the scope of a project and work toward a v0, not a v1.

That means identifying the most crucial part of a functionality , and pushing the smallest pull request possible to make that happen. In fact, a PR should always be optimized for the speed with which we can merge it in.