LLMs
OpenGPTs
This is an open source effort to create a similar experience to OpenAI's GPTs. It builds upon LangChain, LangServe and LangSmith. OpenGPTs gives you more control, allowing you to configure:
This is an open source effort to create a similar experience to OpenAI's GPTs. It builds upon LangChain, LangServe and LangSmith. OpenGPTs gives you more control, allowing you to configure:
- The LLM you use (choose between the 60+ that LangChain offers)
- The prompts you use (use LangSmith to debug those)
- The tools you give it (choose from
github.com • Langchain-Ai/Opengpts
How can we make interacting with conversational models feel more natural?
Every conversational interface to a language model adopts the same pattern:
A chat history sidebar, with each conversation lasting just a few turns
New sessions always begin in a brand-new thread
Every user query must always elicit exactly one response
None of these assumptions... See more
Every conversational interface to a language model adopts the same pattern:
A chat history sidebar, with each conversation lasting just a few turns
New sessions always begin in a brand-new thread
Every user query must always elicit exactly one response
None of these assumptions... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference
Table of Contents
1. Introduction
Large... See more
Table of Contents
- Introduction
- Key LLM Serving Techniques
- Dynamic SplitFuse: A Novel Prompt and Generation Composition Strategy
- Performance Evaluation
- DeepSpeed-FastGen: Implementation and Usage
- Try out DeepSpeed-FastGen
- Acknowledgements
1. Introduction
Large... See more
microsoft • DeepSpeed-FastGen
How enterprises are using open source LLMs: 16 examples.
Many use Llama-2: Brave, Wells Fargo, IBM, The Grammy Awards, Perplexity, Shopify, LyRise, Niantic....
Quote: “A lot of customer are asking themselves: Wait a second, why am I paying for super large model that knows very little about my business? Couldn’t I just use one of these open-source... See more
Many use Llama-2: Brave, Wells Fargo, IBM, The Grammy Awards, Perplexity, Shopify, LyRise, Niantic....
Quote: “A lot of customer are asking themselves: Wait a second, why am I paying for super large model that knows very little about my business? Couldn’t I just use one of these open-source... See more
Paul Venuto • feed updates
Giskard is a Python library that automatically detects vulnerabilities of AI models, from tabular models to LLM, including: performance biases, data leakage, spurious correlation, hallucination, toxicity, security issues and many more.
It's a powerful tool that helps data scientists save time and effort drilling down on model issues, and produce... See more
It's a powerful tool that helps data scientists save time and effort drilling down on model issues, and produce... See more
Giskard-AI • GitHub - Giskard-AI/giskard: 🐢 The testing framework for ML models, from tabular to LLMs
A new v0.4.0 release of lm-evaluation-harness is available !
New updates and features include:
New updates and features include:
- Internal refactoring
- Config-based task creation and configuration
- Easier import and sharing of externally-defined task config YAMLs
- Support for Jinja2 prompt design, easy modification of prompts + prompt imports from Promptsource
- More advanced configuration
GitHub - sqrkl/lm-evaluation-harness: A framework for few-shot evaluation of language models.
“I think a lot of people obviously want to talk about the sexy kind of new consumer applications. I would tell you that I think that the earliest and most significant effect that AI is going to have on our company is actually going to be as it relates to our developer productivity. Some of the tools that we’re seeing are going to allow our devs to... See more
Adam Huda • The Transformative Power of Generative AI in Software Development: Lessons from Uber's Tech-Wide Hackathon
Disruptive innovation comes in two flavors: (1) New-market disruption, where the company creates and claims a new segment in an existing market by catering to an underserved customer base, or (2) Low-end disruption, in which a company uses a low-cost business model to enter at the bottom of an existing market and claim a segment.
Copilots don’t... See more
Copilots don’t... See more