Nicolay Gerold

@nicolaygerold

All cardsCollections

Insulin’s shuttles glucose to the different parts of the body to be used as fuel. Your blood sugar needs to be kept in a certain range. If glucose levels get to high, the glucose can damage and destroy neurons.

Andrew Huberman • How Our Hormones Control Our Hunger, Eating & Satiety

uniflow provides a unified LLM interface to extract and transform and raw documents.

Document types: Uniflow enables data extraction from PDFs, HTMLs and TXTs.

LLM agnostic: Uniflow supports most common-used LLMs for text tranformation, including
- OpenAI models (GPT3.5 and GPT4),
- Google Gemini models (Gemini 1.5, MultiModal),
- AWS BedRock models,
- Huggingf

CambioML • GitHub - CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering: LLM-based text extraction from unstructured data like PDFs, Words and HTMLs. Transform and cluster the text into your desired format. Less information loss, more interpretation, and faster...

Data Loading

Thanks to the cognitive architecture design, goal-oriented behavior is at the core of our LLM agents. When presented with a goal, they employ a planning and execution process to achieve it. If the goal can be accomplished using atomic game actions, we generate a plan that outlines how to solve the objective. For longer-term goals, we decompose the... See more

Introducing our work on general-purpose LLM Agents | GoodAI

data load tool (dlt) — the open-source Python library for data loading

Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop,

or a GPT-4 assisted development playground— dlt can be dropped in anywhere.

dlt-hub • GitHub - dlt-hub/dlt: data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

Data Processing

Overview

GPTScript is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a fully natural language based programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use. Natural language prompts can be mixed with... See more

gptscript-ai • GitHub - gptscript-ai/gptscript: Natural Language Programming

Prompting

Here is a simple process for shipping software projects that works. First, decompose the project into a stream1 of headlines. Then pick an aggressive date to ship the first headline and work like hell to meet that date. Have everyone work only on one headline at a time– the upcoming one. Ignore everything else. Don’t work on anything that doesn’t... See more

Headline driven development - Slava Akhmechet

Developer Management

Components:- Neural tissue: motor neurons cause muscles to contract and shorten, spindle neurons rap around muscle fibers and sense the stretching in the muscle. If it’s stretching a signal is send to the motor neurons in the spinal cord, which ensures the muscle contracts to keep the range of motion in a safe range. At the end of each muscles you... See more

Andrew Huberman • Improve Flexibility with Research-Supported Stretching Protocols

DeepEval — It’s a tool for easy and efficient LLM testing. Deepeval aims to make writing tests for LLM applications (such as RAG) as easy as writing Python unit tests.

Testing framework for LLM Part

We expect AI technology to advance over time for two reasons. First, algorithmic progress - people learn how to make AIs in cleverer ways. Second, hardware progress - Moore’s Law produces faster, cheaper computers, so for a given budget, we can train/run the AI on more powerful hardware. A pause might slow algorithmic progress very slightly, with... See more

Scott Alexander • Pause For Thought: The AI Pause Debate

I agree. OpenAI and Meta are waiting for the delivery of the new Nvidia Chips to start training the next version of GPT and LLaMa respectively. A pause in development would not do any good. A suggested benefit for a pause would be to focus research on alignment. I think we would have to create a regulatory mandate for alignment for it to be effective.