AI/ML News Digest | 16th edition

AI/ML News Digest | 16th edition

?? AI is more than just technology, it's revolutionizing the way we live and work. Here are some insights into what's happening in the AI industry.


AI Tech Updates

1/ Bard, our favorite language model, has gotten even better. ?? It now integrates with your personal apps and services, admits its mistakes, and has expanded image input to 40+ languages. AI engineers and non-tech people alike can now enjoy the benefits of this powerful language model. ??

Read full article


2/ OpenAI has released a new fine-tuning UI. This allows users to fine-tune up to three models at the same time and view them directly on the website. ????????


3/ In the realm of long-term tracking, we have PIPs++. This powerful tool allows for the tracking of hundreds of points in seconds. The code and paper are available for further exploration, and the project is open for contributions. ??

Code: https://github.com/aharley/pips2

Paper: https://arxiv.org/abs/2307.15055

Project: https://pointodyssey.com


4/ OpenAI has released a version of their 3.5 models, available via the old completion endpoints. This is beneficial for agents, as the chat models can be too chatty and less precise for steerable outputs. ??

Example:

Source


5/ Salesforce AI team has introduced a new prompting technique called Chain of Density (CoD). This technique is designed to balance the amount of details and core ideas in a summary, enabling AI engineers to create more comprehensive and accurate summaries. ??

Paper

Read the full article


6/ Google is nearing the release of Gemini, its GPT-4 competitor. Can it compete with GPT-4? Only time will tell.


7/ ?? AI is revolutionizing the way we live and work. Roblox recently revealed a new AI chatbot called Roblox Assistant, allowing creators to build virtual worlds just by typing prompts. This could potentially open up the world of AI to a new generation of users.

Watch the video


8/ AI technology has been used to create virtual girlfriends, but the majority of users are female. This is similar to fan fiction, where 80% of readers are women. However, this does not hold true for image generation, where the ratio flips. ??♀?

Source


9/ ?? AI is making waves in the music industry too! Stable Audio has announced a new generative audio model that allows users to create high-quality music for commercial use. This model, based on latent diffusion similar to Stable Diffusion, is the first of its kind and is set to revolutionize the music industry. ??

Test it out


10/ AI Engineers and non-tech people can now learn how to develop a retrieval augmented generation (RAG) based LLM application from scratch.This comprehensive guide bridges the gap between open-source and closed-source LLMs. ??

Read more


Innovations in AI

1/ [Deep learning is stepping up its game with an unsolved problem: Learning of Hierarchical Structure. The aim? To feed in bits, characters, and bytes and get state-of-the-art results. Imagine the possibilities! ??

Read the thread


2/ Generative Image Dynamics is here to change the way we interact with photos. Turn a still photo into a looping video or play around with objects in the picture. ??

Watch the video example

Test the tool


3/ Generative AI is powering thousands of new products, and the data shows that AI-powered products are becoming increasingly popular among a wide range of consumers. ????

Here are the top 50 consumer web products by monthly visits:


4/ ?? Ready to unlock the next trillion high-quality tokens? Meet Nougat, an open-source OCR model that can accurately scan books with heavy math/scientific notations. It's far more advanced than other open OCR options. A game-changer, indeed! ????

Website: https://facebookresearch.github.io/nougat/

Open-source code: https://github.com/facebookresearch/nougat

Paper "Nougat: Neural Optical Understanding for Academic Documents": https://arxiv.org/abs/2308.13418


5/ A new approach from Google DeepMind proposes to use LLMs as Optimizers. Imagine describing an optimization problem in natural language and letting an LLM generate new solutions. Revolutionary, right? ????

Read more


6/ The Laiyer AI team has introduced LLM Guard, a comprehensive security toolkit for LLMs in production. From sanitization and harmful language detection to data leakage prevention, this toolkit ensures the safety of your LLMs in production.

Source


7/ An open-source library has been released with promising features for building autonomous language agents. This library is a treasure trove for AI engineers and those interested in diving deeper into the AI world.

Repo: https://github.com/aiwaves-cn/agents


8/ We've also seen advancements in automating LLM workflows with routers and generating Q/A pair training data with AI personality injection. These advancements are set to revolutionize the way we interact with AI.

Source 1

Source 2


9/ AI models have been improved with Anthropic AI, and the results are fantastic. These enhancements have made the models more efficient and accurate.

Learn more


10/ AI-assisted front-end development is getting a significant boost with a new UX created by Jared Palmer and the team. This UX is set to revolutionize how developers train models for progressive component enhancement.

Watch the video

Check it out


11/ The LangChain "Talk to Notion" App has received an upgrade. Better splitting, improved memory, and newer Streamlit components are just some of the enhancements that users can now enjoy.

Read the blog


12/ Google DeepMind has also recently released a paper exploring the use of LLMs to optimize prompts given to AI engineers. This paper suggests a step-by-step approach to problem-solving to get the most out of AI technology.

Paper

Read its highlights


13/ A new tool, Instagraph has been released that converts text or URLs into a visualized knowledge graph. This tool is now open-sourced, allowing AI engineers and non-tech people alike to explore the potential of AI.

Repo


14/ Ironclad Inc. has open-sourced Rivet, their first AI agent. The team is eager to hear what people think of it.

Try it


AI Community and Ecosystem

1/ AI engineers are constantly identifying challenges for LLM development. They've identified hallucination and accuracy as key pain points. But don't fret, by pinpointing specific challenges, developers are better equipped to understand the underlying problems and work towards finding solutions.

Read more


2/ And while we're on the subject of learning, did you know that you can now learn how to build a vector store from scratch? This comprehensive tutorial will help you understand the fundamentals of storage/retrieval, such as dense search, metadata filtering, and more.

Source by LlamaIndex

Learn more


4/ Are you on the hunt for the best AI art styles? Look no further! Midlibrary_io is your go-to place to find the latest and greatest AI art styles. Why waste time when you can start exploring the world of AI art today?

Learn more


5/ If you're interested in tokens, MidJourney has identified two powerful ones - cinematic and 35mm - that can help you achieve photorealism with fewer iterations. Unlock the potential of these tokens and take your AI projects to the next level.

Source


6/ AI Automation Agency owners have been interviewed in the last 5 months, and unfortunately, 90% of them are stuck. But there's a blueprint that the top 10% are using to succeed. It's proof that with the right strategies, success is within reach.

Read the article


7/ Speaking of success, a new paper has revealed that language models can be self-aligned without the need for finetuning. By integrating self-evaluation and rewind mechanisms, unaligned language models can directly produce responses that are in line with human preferences. This is a significant step forward in the AI industry.

Read the article


In the world of AI, the possibilities are endless. So, let's keep exploring, keep creating, and keep innovating. ??

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