Meta’s AI chief is right to call AI fearmongering ‚BS‘ but not for the reason he thinks

It provides tools for everything from sending form data to handling multipart file uploads, and works with both synchronous and async code. The API service, currently in public beta, is more expensive than OpenAI’s API service and supports integrations with both OpenAI and Anthropic SDKs. The difference in pricing suggests cost savings for enterprises, at least for usage of open models. A significant chasm exists between most organizations’ current data infrastructure capabilities and those necessary to effectively support AI workloads. Managing change will be paramount throughout, requiring close collaboration between IT, HR and other lines of business to shepherd organizations through their GenAI journeys.

I show you my commentary version and then next show the relevant text from the actual meta-prompt. By and large, when I teach my classes on prompt engineering, those are the same kinds of recommended best practices that I cover. The best practices can be in your noggin and undertaken by hand, or in this ChatGPT App case the meta-prompt will get the AI to do so on your behalf. Let’s now closely inspect a meta-prompt that OpenAI showcased at the Prompt Generation blog. There are other sample meta-prompts but I thought this one seems straightforward and exemplifies what a meta-prompt might conventionally contain.

Showcasing The Ten Rules Per The Meta-Prompt Text

Srijan will engage young developers to deploy open-source LLMs across India & unearth indigenous use cases through Hackathons. Harnessing value from GenAI requires organizational changes to the way we all work from daily practices to entire processes and workflows. This is especially important as the business world moves closer to adopting agents, the GenAI-fueled digital assistants that work autonomously to achieve goals.

You can inspect the logic and see some key assumptions made by the AI. The answer by the generative AI was that I should take the train to get from San Francisco to New York City. Well, that might be fun to do if I had plenty of time and relished train travel, but the answer doesn’t seem very good when under pressure or having other requirements about the journey. A notable reason to show your work was so that the teacher could see the logic that you used to arrive at your answer. If you got the answer wrong, the teacher might at least give you partial credit based on whether your work demonstrated that you partially knew how to solve the problem at hand. Of course, this also helped in catching cheaters who weren’t actually solving problems and instead were sneakily copying from their seated neighbors.

Meta rolling out generative AI ad tools to all advertisers

“We’re sharing our plan to open up access to Meta AI in more countries and languages throughout the rest of the year,” Meta said. Meta AI is traveling internationally, starting with Brazil, Bolivia, Guatemala, Paraguay, the Philippines, and the UK this week. Over the next few weeks, the tech giant’s AI assistant will eventually debut in 21 countries across Africa, Southeast Asia, and the Middle East.

Well, the secret is out now, and we can all relish and learn valuable lessons by inspecting the vital ingredients. The premise in an AI context is that if you have generative AI do sufficient pre-processing to logic out a potential response there is a heightened chance that the generated answer will be better. The technique of pre-preprocessing for garnering better answers is something that I’ve covered extensively and is widely known as chain-of-thought or CoT reasoning for AI, see the link here and the link here. “This will help people get answers to their questions, brainstorm content, and bring their ideas to life in places where they can easily share the results with their local network and our broader global community.

• We should worry that humans will misuse AI, accidentally or otherwise, replacing human judgment.
• I’m much more worried about people relying on AI to be smarter than it is.
• The response indicates that this is because Molotov cocktails are dangerous and illegal.
• AI makers differ in terms of whether they automatically invoke hidden meta-prompts on your behalf.

IIT Jodhpur COE Srijan will collaborate with academic, government & industry stakeholders both national & global to advance GenAI research and technology. This includes Open science innovation, Develop and transfer technology solutions, Education & capacity building besides Policy advisory and governance. Generative AI is data trained by scanning across the Internet and examining lots and lots of data.

Ten Prompting Rules Distilled From The Meta-Prompt

You can see that ChatGPT explained the basis for making the improvements, namely that my original prompt was rather vague. The revised prompt gives additional clues and makes clearer what I might want in the result or outcome of the prompt. A meta-prompt is construed as any prompt that focuses on improving the composition of prompts and seeks to boost a given prompt into being a better prompt. Returning to my point about showing your work during your schooldays, you must admit that writing down your logic was a means of forcing you to get your mind straight.

Maybe it was painful and maybe you got dinged at times for making mistakes, but I dare say you are better off for it. I would wager that much if not most of what you might find online would almost certainly not be accompanied by the logic or logical basis for whatever is being stated. Unless you perchance come across an online textbook of mathematical proofs, you aren’t bound to see the logic employed. Furthermore, as an aside, even if people do show their logic, we might be suspicious as to whether the logic they show is coherent or complete. Expand that scope and imagine that we want generative AI to inspect the logic or chain-of-thought being used and always try to improve upon it, across all kinds of problems.

ChatGPT is one of the most popular generative AI apps and has about 200 million active weekly users. One of the most commonly used examples of trying to test the boundaries of generative AI consists of asking about making a Molotov cocktail. This is an explosive device and some stridently insist that generative AI should not reveal how it is made.

On the other hand, you might be keenly interested in seeing the revised prompt, especially before it is processed. Another facet is that by seeing the revised prompts, you can learn how to better compose your prompts from the get-go. The good news is that you might not care how your prompt was revised and only care about the final generated results. In that sense, as long as the outcomes are solid, whatever hidden magic is taking place is fine with you. One big question is whether you ought to be able to see the bolstered prompt that is being fostered via the meta-prompt instructions.

Notable in its absence is any continental European country as Meta wrangles with the European Union (EU) over regulatory demands. Bosworth also confirmed a previous report that Meta has canceled a high-end Quest headset, codenamed La Jolla, which was initially expected to become the Quest Pro 2. The cancellation of La Jolla was likely due to tepid consumer responses to high-priced headsets like the Quest Pro and Apple Vision Pro.

We’ll need to define new ways of partnering with brands and agencies to help train these models on brands’ unique perspective,” said Meta in a blog post. The Centre of Excellence was announced under the aegis of Meity on July 27th, 2023. Srijan will ensure the long-term sustainability of the GenAI research beyond the initial phase supported by seed funding from Meta & support from IndiaAI. IIT Jodhpur will devise a comprehensive plan that encompasses diverse revenue streams, strategic partnerships & continuous innovation. Its progress will be monitored annually by the joint committee of MeitY and Meta for the duration of the funding support.

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Really good prompts are said to be in the eye of the discerning beholder. One twist is whether we truly think in the explicitly noted logic-based terms that we write down. Society is stridently forcing us to pretend that we think in a logical way, even though maybe we don’t, or we use some other logic entirely.

Over the past year, it’s also conducted layoffs, largely targeting middle and senior managers. Anthropic’s has upgraded its Claude 3.5 Sonnet LLM with a new ability, computer use, opening up new opportunities for developers in robotic process automation (RPA) and more. The social media giant also plans to bring out new Gen AI-powered ad features, such as tailored themes for different brand types, and AIs for business messaging on Messenger and WhatsApp.

For my coverage on pertinent prompting strategies and the nitty-gritty technical underpinnings of these means of getting past the filters of generative AI, see the link here and the link here. This analysis of an innovative proposition is part of my ongoing Forbes.com column coverage on the latest in AI including identifying and explaining various impactful AI complexities (see the link here). The watsonx Code Assistant uses the newly announced Granite 3.0 models to provide general-purpose coding assistance across multiple programming languages. By giving developers the freedom to explore AI, organizations can remodel the developer role and equip their teams for the future.

During this data training, the use of mathematical and computational pattern matching is performed. When you use generative AI, the pattern-matching computationally mimics how humans write. Voila, you get the amazing semblance of fluency that occurs while using generative AI and large language models.

Legitimate concerns around things like ethical training, environmental impact, and scams using AI morph into nightmares of Skynet and the Matrix all too easily. Please read the full list of posting rules found in our site’s Terms of Service. The program also features Unleash LLM Hackathons, where students will submit AI solutions to address real-world problems, with top ideas receiving mentoring, seed grants, and market support. Additionally, the AI Innovation Accelerator will identify and support 10 student-led startups experimenting with open-source AI models, offering incubation and visibility.

It will conduct Master Training activation workshops for select colleges, data labs, and ITIs, introducing them to foundations of LLMs to ignite interest. It will help support in creation of Student-led startups experimenting with Open Source LLMs by identifying the young developers. The CoE will Identify and empower the next generation of AI innovators and entrepreneurs using open-source AI & exploring possibilities in Large Language Model LLMs. The research under its aegis will be shared with students via AICTE and via direct connection with colleges.

To get this to happen on a longstanding basis, we could exercise the AI with lots and lots of problems and get the AI to review the logic again and again. The aim would be to have the AI persistently get better at devising underlying ChatGPT logic. I’m reassured and excited that the answer to my travel question was definitely improved. I would say that the new answer is better since it brings up the importance of several factors including time, cost, and convenience.

For my comprehensive discussion and analysis of over fifty advanced prompting techniques, see the link here. In today’s column, I examine OpenAI’s special newly revealed meta-prompts that are used meta to adcreating generative ai cto to supersize and improve the prompts that you enter into generative AI. Various media reports on the posting of OpenAI’s meta-prompts have been referring to them as a kind of secret sauce.

Srijan will nurture the startup ecosystem of AI & other Emerging Technologies. In doing so, IIT Jodhpur will enhance accessibility to AI computing resources for researchers, startups, and all the other organizations with limited resources. It will also enable knowledge sharing and collaboration through workshops, seminars, conferences, and similar platforms. You can foun additiona information about ai customer service and artificial intelligence and NLP. Exhibit A is Meta’s Llama 3.2, a suite of open multimodal models that can process text and images.