Large language models that are capable of zero or few-shot prompting approaches have given rise to the new research area of prompt engineering. Recent advances showed that for example Chain-of-Thought (CoT) prompts can improve arithmetic or common sense tasks significantly. We explore how such approaches fare with legal reasoning tasks and take the COLIEE entailment task based on the Japanese Bar exam for testing zero-shot/few-shot and fine-tuning approaches. Our findings show that while CoT prompting and fine-tuning with explanations approaches show improvements, the best results are produced by prompts that are derived from specific legal reasoning techniques such as IRAC (Issue, Rule, Application, Conclusion). Based on our experiments we improve the 2021 best result from 0.7037 accuracy to 0.8148 accuracy and beat the 2022 best system of 0.6789 accuracy with an accuracy of 0.7431.

OpenAI recently released a model for automatic speech recognition called Whisper. I decided to reimplement the inference of the model from scratch using C/C . To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C . The entire code is less than 8000 lines of code and is contained in just 2 source files without any third-party dependencies.

A new artificial intelligence chatbot could make it much easier for students to cheat on tests and homework that require written answers. Billed by technologists and industry watchers as the most powerful AI chatbot ever released, ChatGPT is the latest effort from OpenAI, a San Francisco-based company that also made tools like DALL-E 2, the image generator that made a splash earlier this year. ChatGPT, which has been trained on a gigantic sample of text from the internet, can understand human language, conduct conversations with humans and generate detailed text that many have said is human-like and quite impressive. 'We've trained a model called ChatGPT which interacts in a conversational way,' OpenAI said in a statement. 'The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.'

Stack Overflow, the popular discussion and answer source for programmers, has announced an official, though temporary, ban on responses produced by OpenAI's new ChatGPT chatbot. Moderators cited concerns about the accuracy of the AI's answers as the main reason for the new rule, though the standards may undergo revision after further investigation and debate. OpenAI highlights ChatGPT's ability to write, edit, and assist with coding on the chatbot's introductory page, and it's very easy to generate answers and coding templates with the tool. That simplicity doesn't mean the answers are accurate, however. The errors may be obvious or subtle, but users can't assume ChatGPT gets it right immediately.

As a critic of technology, I must say that the enthusiasm for ChatGPT, a large-language model trained by OpenAI, is misplaced. Although it may be impressive from a technical standpoint, the idea of relying on a machine to have conversations and generate responses raises serious concerns. First and foremost, ChatGPT lacks the ability to truly understand the complexity of human language and conversation. It is simply trained to generate words based on a given input, but it does not have the ability to truly comprehend the meaning behind those words. This means that any responses it generates are likely to be shallow and lacking in depth and insight. Furthermore, the reliance on ChatGPT for conversation raises ethical concerns.

Today, Canva announces Magic Write, a text-generation tool that can generate everything from ideas for blog posts to a cover letter. But AI text is quietly -- and probably inevitably -- moving into more products you'll use on a regular basis. AI art is already there. Microsoft Designer, a visual design tool that seamlessly integrates text-to-image AI art is in preview and should eventually be part of Microsoft 365. But rival Canva, which staked out its own text-to-image AI art space before Designer launched, is moving further into Microsoft's territory with the new Magic Write feature for Canva Docs.

Like many other people over the past week, Bindu Reddy recently fell under the spell of ChatGPT, a free chatbot that can answer all manner of questions with stunning and unprecedented eloquence. Reddy, CEO of Abacus.AI, which develops tools for coders who use artificial intelligence, was charmed by ChatGPT's ability to answer requests for definitions of love or creative new cocktail recipes. Her company is already exploring how to use ChatGPT to help write technical documents. "We have tested it, and it works great," she says. ChatGPT, created by startup OpenAI, has become the darling of the internet since its release last week.

Every year, the artificial intelligence company OpenAI improves its text-writing bot, GPT. And every year, the internet responds with shrieks of woe about the impending end of human-penned prose. This cycle repeated last week when OpenAI launched ChatGPT--a version of GPT that can seemingly spit out any text, from a Mozart-styled piano piece to the history of London in the style of Dr. Seuss. The response on Twitter was unanimous: The college essay is doomed. Why slave over a paper when ChatGPT can write an original for you?

It seems it is useful in many ways though it is not fully accurate as of now. You can try it at https://openai.com/blog/chatgpt/ Graphene is a two-dimensional form of carbon that has been studied extensively for its unique properties. It is made up of a single layer of carbon atoms arranged in a hexagonal lattice, and is known for its strength, flexibility, and high electrical and thermal conductivity. Graphene has many potential applications, including in electronics, energy storage, and biotechnology.

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