TLDR AI

TLDR AI 2023-06-13

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01HEADLINES & LAUNCHES

WORDPRESS HAS A NEW AI TOOL THAT WILL WRITE BLOG POSTS FOR YOU

WordPress has released a new AI writing tool called Jetpack AI. The tool can be used to generate blog posts, social media posts, and other types of content. Jetpack AI is powered by GPT-3, a large language model developed by OpenAI. The tool is still in beta, but it has the potential to make it easier for people to create content for their websites.

theverge.com2 min read

LLAMAINDEX RAISES $8.5M SEED ROUND

LlamaIndex, an innovative platform aiming to connect LLMs and private data, has secured $8.5 million in seed funding in a round led by Greylock. The company’s solution aims to make it easier for developers to leverage the reasoning capabilities of LLMs over their own data. The funding is set to expand LlamaIndex’s open-source data framework and tackle data-related challenges for enterprises at scale.

medium.com8 min read

02RESEARCH & INNOVATION

CAN FOUNDATION MODELS LABEL DATA LIKE HUMANS?

The recent hype in language models has led to statements like "our model is preferred to ChatGPT N% of the time". This statement usually hides the fact that GPT4 was the model doing the preferring. Wrapped up in that is all sorts of questions about calibration, reliability, and the plain fact that GPT4 prefers models that output more tokens per response. This blog dives into these details and the Open LLM leaderboard.

huggingface.co18 min read

DECODING BIASES IN LARGE LANGUAGE MODELS

Understanding how AI language models react to slight changes in their inputs is vital for ensuring fairness and usefulness, but it's not an easy task. A new method called Contrastive Input Decoding (CID) has been introduced to shed light on these subtle differences by generating text that reflects the unique characteristics of two slightly different inputs, thus making the AI's responses more understandable and manageable.

arxiv.org12 min read

RL4F: IMPROVING AI PERFORMANCE WITH COLLABORATIVE FEEDBACK

RL4F is a new method that uses a smaller, critique-generating AI to help a much larger AI like GPT-3 fix its mistakes, much like how humans improve from feedback. By studying different tasks like planning, summarizing, and alphabetizing, researchers found that this approach improved the big AI's performance by about 5% on average.

arxiv.org16 min read

03ENGINEERING & RESOURCES

DATADM

DataDM is your private data assistant - a conversational interface for your data where you can load, clean, transform, and visualize without a single line of code. DataDM is open source and can be run entirely locally, keeping your data secrets fully private.

github.comGitHub repository

FINGPT: AN OPEN-SOURCE LANGUAGE MODEL FOR FINANCIAL INNOVATION

This paper introduces FinGPT, an open-source artificial intelligence model designed for the finance sector. It aims to provide an accessible tool for financial research and development, offering features like automated data management and the potential for applications such as robo-advising and algorithmic trading.

github.comGitHub repository

ADAPTING LARGE LANGUAGE MODELS TO ENHANCE RECOMMENDER SYSTEMS

This paper is a detailed review on how LLMs, known for their impressive abilities in natural language processing, can be adapted to improve recommender systems on the internet. It examines the possible roles of LLMs in various stages of the recommendation process and explores the challenges and future potential of integrating these models for more efficient, effective, and ethically-sound recommendations.

github.comGitHub repository

04MISCELLANEOUS

IDEA

Trying to shape AI innovation to protect workers is a bad idea. Instead, we should focus on creating institutions that ensure that everyone can thrive in an automated economy.

noahpinion.blog8 min read

IMPLICIT CODE EXECUTION MAKES BARD SMARTER

Two cool new features are launching in Bard soon. The first is the ability to export responses into Google sheets and the second enables code to be run in the background to improve the reliability and accuracy of outputs. Bard will be able to detect if a question requires math, logic, or code reasoning and execute code in the backend to get answers.

blog.google5 min read