Nicolay Gerold

Startup Idea: farm succession planning - renting out, selling, renting to fractionalized investors.

Indexify is a reactive structured extraction engine for un-structured data.

Applications leveraging LLMs for autonomous planning or queries necessitate timely index updates aligned with data changes or new extraction methods. Indexify enables both, by applying feature extractors on data in real-time and updating one or many indexes.

Why use Indexify

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Lightning-fast OSS ModelsTry our APIExperience the world's fastest LLM inference platform. Use a state-of-the-art, open-source model or fine-tune and deploy your own at no additional cost, with Fireworks.ai.Query Large Language Models with Fireworks.aiIt is super easy to get started with Fireworks.ai LLM API. You can use the Python client (install ... See more

The exact metrics we use depend on the application — our main goal is to understand how users use the feature and quickly make improvements to better meet their needs. For internal applications, this might mean measuring efficiency and sentiment. For consumer-facing applications, we similarly focus on measures of user satisfaction - direct user fee... See more

Always drill down deeper once you feel frustrated. The adult brain cannot cope with large errors, but only with smaller incremental ones. You have to stack the errors to achieve plasticity. Smaller bouts and bits of learning are necessary per learning epoch.

DiscoLM German 7B v1 - GGUF

Model creator: Disco Research

Original model: DiscoLM German 7B v1

Description

This repo contains GGUF format model files for Disco Research's DiscoLM German 7B v1.

These files were quantised using hardware kindly provided by Massed Compute.

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. I... See more

For any conversational use case, such as chatbots, we need conversational memory. The idea behind conversational memory is simple: rather than sending just the most recent interaction to our LLM, we send a history of interactions + the most recent interaction to our LLM — typically in a chat log style format.

With and without conversational memory.

D... See more

The two most important problems (at least how I am thinking about them currently), are:

Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .

Figuring out how you formally validate and verify... See more

When the CPython process starts up, it performs runtime initialization. The runtime contains critical data required for the operation of the rest of the virtual machine.

Next, the Python code gets parsed and compiled into bytecode instructions, this is called tier-1 bytecode. This compiled bytecode is interpreted by the tier-1 bytecode interpreter.

T... See more