1. The open source project Gorilla makes big language models better use APIs
GitHub's open-source project Gorilla can make big language models use tools by calling APIs. Given a natural language query, Gorilla provides semantically and syntactically correct APIs to call.
News Highlights:
- Gorilla is an open source project that helps make better use of tools for large language models.
- The project is able to provide semantically and syntactically correct APIs to call by calling APIs.
- Gorilla can greatly improve the efficiency of large language models.
Tags: GitHub, open source projects, API
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2. New technology of language model: RecurrentGPT enables arbitrary length text generation
Recently, GitHub launched a new technology called RECURRENTGPT, a language-based loop mechanism that is embedded into large language models like ChatGPT. By simulating the mechanism of long short-term memory, RECURRENTGPT achieves arbitrary length text generation while retaining long-term memory. The technology demonstrates the potential to borrow ideas from cognitive science and deep learning, opening up possibilities for interactive writing systems and personalized interactive novels.
The core elements of the technology include:
- RECURRENTGPT is a language-based circular mechanism that is embedded in large language models like ChatGPT.
- RECURRENTGPT realizes arbitrary length text generation by simulating the mechanism of long short-term memory, while retaining long-term memory.
- The technology demonstrates the potential to borrow ideas from cognitive science and deep learning, opening up possibilities for interactive writing systems and personalized interactive novels.
Tags:Language model, text generation, deep learning
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3. Introduction to HTMX technology
HTMX is an emerging front-end development technology that has attracted more and more attention from developers in recent years. It is a technology that combines HTML, CSS, and JavaScript to enable dynamic page loading without page refresh, with the following features:
Core features of HTMX technology:
- Easy to use: htmx is very easy to use, just need to add a few custom attributes in the HTML tag to achieve dynamic data loading and partial refresh of the page.
- Compatibility: HTMX supports most modern browsers and does not require the use of any specific backend framework or language, so it can be integrated with any backend server.
- Efficient and flexible: HTMX provides a variety of data interaction methods and custom event handling mechanisms, and also supports the integration of front-end frameworks and libraries, which is highly flexible and extensible.
Areas of application of HTMX technology:
- Front-end interactive web applications;
- Web pages that need to implement dynamic data loading and partial refresh;
- Ideal for developing complex front-end components and applets.
Tags: front-end development, JavaScript, web applications
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4. Artificial intelligence resources released, A16Z heavy recommendation!
The a16z organization has published a compendium of AI resources designed to help readers better understand modern AI. Carefully curated by A16Z, the resource collection covers various forms of artificial intelligence resources, including books, blogs, courses, tools, etc., covering various fields of artificial intelligence, suitable for people of all levels to learn and reference.
Core points
- Carefully curated and selected by A16Z, the resource collection contains various forms of artificial intelligence resources, covering various fields of artificial intelligence;
- Most of the resources are in English, but there are also some Chinese resources suitable for readers of different languages;
- This resource is a great learning and reference material, and a rare resource for anyone who wants to understand all aspects of artificial intelligence.
Tags: artificial intelligence, resources, learning
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5. TWIST uses text warm-up to improve voice model performance
TWIST is a new method for training speech language models (SpeechLMs) that uses pre-trained text models for hot starts. This approach is superior to training from scratch, and empirical analysis emphasizes the importance of model and dataset scale. This study introduces the largest SpeechLM to date and introduces a spoken version of the text benchmark to improve evaluation and progress in future research.
Core points
- TWIST is a new method for training speech-language models (SpeechLMs) using warm-up startups.
- Empirical analysis shows that TWIST is superior to training from scratch, and model and dataset size is critical.
- The study introduced SpeechLM, the largest to date, and introduced a spoken version of the text benchmark to improve evaluation and progress in future research.
Tags: speech language model, text warm-up start, natural language processing
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6. How to optimize LLMs on custom datasets
In this guide, we'll cover how to fine-tune LLMs on custom datasets using Lit-Parrot. Lit-Parrot is a nanoGPT-based tool for implementing GPT-NeoX models that supports StableLM, Pythia, and RedPajama-INCITE model weights.
Here are three key points:
- Lit-Parrot is a tool for fine-tuning language models that allows us to fine-tune custom datasets.
- GPT-NeoX is a powerful language model that can be applied to a variety of natural language processing tasks. It consists of multiple submodels that can be fine-tuned by Lit-Parrot.
- Lit-Parrot supports a variety of model weights, including StableLM, Pythia, and RedPajama-INCITE, which users can choose according to their needs.
Tags:natural language processing, language model, fine-tuning
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7. Small models beat GPT4 arithmetically
A recent study found that small models can even beat GPT4 in arithmetic, a surprising finding. Specifically, there are already many powerful base models used for fine-tuning arithmetic tasks, but the advantages of Llama Tokenizer (splitting numbers into individual numbers) in arithmetic are still obvious.
Here are three core takeaways from the finding:
- Small models can be used to perform arithmetic tasks and can even outperform GPT4.
- Llama Tokenizer is an effective word segmentation tool that breaks down numbers into individual numbers, improving the accuracy of arithmetic tasks.
- This finding suggests that small models may be more effective than large models in some cases.
Tags:artificial intelligence, natural language processing, small models
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8.AI Music advocate Grimes commented on AI-generated Grimes songs
Canadian musician and AI music advocate Grimes recently took the time to comment on AI-generated Grimes songs, which she found to be excellent. Here are three key takeaways from this review:
- The quality of the music generated by the AI continues to improve, and the songs are as good as the ones she created herself.
- The music generated by AI helps musicians create more works faster, and it can provide them with more inspiration to create a wider variety of music.
- AI-generated music will have more application scenarios, such as background music, movie soundtracks, advertising music, and so on.
Tags: artificial intelligence, AI music, music review
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9. Nvidia stock jumps 28%: the era of the AI chip boom is in full swing
Nvidia is one of the world's leading artificial intelligence (AI) companies, and its GPU chips are the best choice for training and running deep learning algorithms. With the continuous development and popularization of AI technology, the demand for AI chips in the market is also increasing. On Thursday, Nvidia's stock price suddenly jumped 28%, indicating that the market continues to be optimistic about the demand and prospects for AI chips.
News Summary:
- Nvidia stock jumped 28 percent on Thursday, marking the full arrival of the AI chip boom.
- This news shows that the market demand for AI chips is increasing.
- Nvidia is the world's leading artificial intelligence company, and its GPU chips are the best choice for training and running deep learning algorithms.
Future Outlook:
The rapid development and application of AI technology will further promote the development of the AI chip market. As the world's leading AI company, Nvidia will continue to leverage its technology and market advantages to promote the innovation and application of AI chips. It is expected that more companies will join the R & D and production of AI chips in the future, and the market prospects are broad.
Tags:artificial intelligence, GPU, stock market
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10. IX open source, support semi-autonomous LLM agent design and deployment
Content Highlights:
- IX is an experimental platform designed to support the design and deployment of semi-autonomous LLM agents.
- The platform can be used to explore the future applications of semi-autonomous technologies in the field of artificial intelligence.
- IX is already open sourced on GitHub and is free to download and use.
Tags: artificial intelligence, semi-autonomous technology, GitHub
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Pay attention to "rambling developers", don't miss the daily global AI headlines, alleviate your "AI anxiety", and focus on the cutting-edge AI technology every day!
Other developer headline series articles, regular exclusive dry goods broadcast:
- A collection of developer headlines
- END -
Resources
[1]
View Original/1: https://github.com/ShishirPatil/gorilla?utm_source=talkingdev
[2]
View Original/2: https://github.com/aiwaves-cn/RecurrentGPT?utm_source=talkingdev
[3]
View Original/3: https://htmx.org/?utm_source=talkingdev
[4]
View Original/4: https://a16z.com/2023/05/25/ai-canon/?utm_source=talkingdev
[5]
View Original/5: https://pages.cs.huji.ac.il/adiyoss-lab/twist/?utm_source=talkingdev
[6]
View Original/6: https://lightning.ai/pages/blog/how-to-finetune-gpt-like-large-language-models-on-a-custom-dataset/?utm_source=talkingdev
[7]
View Original/7: https://arxiv.org/abs/2305.14201?utm_source=talkingdev
[8]
View Original/8: https://archive.ph/euDz7?utm_source=talkingdev
[9]
View Original/9: https://www.cnn.com/2023/05/25/tech/nvidia-earnings-ai/index.html?utm_source=talkingdev
[10]
View Original/10: https://github.com/kreneskyp/ix?utm_source=talkingdev