ell

A lightweight programming library for language models, treating prompts as functions.

InternationalSelectionProgrammingLanguage ModelProgramming Library

ell is a lightweight programming library for language models that treats prompts as functions rather than mere strings. The design of ell is based on years of experience building and utilizing language models within OpenAI and the startup ecosystem. It provides a novel programming approach, allowing developers to generate string prompts or message lists sent to the language model by defining functions. This encapsulation creates a clear interface for users, allowing them to focus solely on the data required by the LMP. ell also offers a wealth of tools supporting monitoring, version control, and visualization, transforming prompt engineering from an obscure art into a precise science.

Treat prompts as programs rather than strings
increasing programming flexibility.
Support encapsulation of Language Model Programs (LMP) for a simplified user interface.
Provide optimization tools
including monitoring
version control
and visualization.
Emphasize the importance of computations during testing
supporting multi-call solutions.
Capture records of each language model invocation

\ell is designed for developers who wish to use language models for efficient programming and prompt engineering. It is especially suited for machine learning engineers and data scientists who require extensive iteration and optimization. Additionally
ell provides a lightweight solution that seamlessly integrates language model functionalities into existing workflows for developers.\

Create a system using ell to automatically generate news stories.
Implement a chatbot with ell that can generate personalized greetings based on user input.
Develop a tool with ell that automatically scrapes information from web pages and generates summaries.

Visit the official ell website or documentation page.
Read the getting started guide to understand the basic concepts and features of ell.
Install the ell library in your local development environment.
Define a simple Language Model Program (LMP)
such as a function that generates greetings.

Visit

ell Visit Over Time

Monthly Visits

32712

Bounce Rate

48.69%

Page per Visit

2.6

Visit Duration

00:05:12

ell Visit Trend

ell Visit Geography

ell Traffic Sources

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Best AI Websites & Tools

ell

ell Visit Over Time

ell Visit Trend

ell Visit Geography

ell Traffic Sources

ell Alternatives

Spirit LM — Multimodal language model that integrates text and speech

VideoLLaMA2-7B — A large video-language model that provides video question answering and video captioning.

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Anthropic Prompt Improver — Developer console for enhancing AI model response quality

Lingma SWE-GPT — An open-source large language model specifically designed for software improvement.

DataChain — A modern Python data frame library designed specifically for artificial intelligence.

OuteTTS-0.1-350M — A text-to-speech synthesis model that operates through a pure language model.

Aquila-VL-2B-llava-qwen — A visual-language model that intelligently processes both image and text information.

MobileLLM-1B — A sub-billion parameter language model developed by Meta, suitable for device-side applications.

MobileLLM-600M — An efficient and optimized 600M parameter language model designed for device applications.

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

MobileLLM-125M — An efficient, optimized small language model designed for device-side applications.

Ferret-UI-Llama8b — A multimodal large language model based on Llama-3-8B, focused on UI tasks.

MobileLLM — Optimized small language model suitable for mobile devices

SimpleQA — A benchmark test for measuring the ability of language models to answer factual questions.

AudioLM — High-quality audio generation framework

Anthropic's Educational Courses — Anthropic's educational courses cover foundational topics in API usage and prompt engineering.

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