Yesterday’s release of Meta’s LLaMA 2, under a commercial license, was undoubtedly an open-source AI mic drop. But startup Together, known for creating the RedPajama dataset in April, which replicated the LLaMA dataset, had its own big news over the past couple of days: It has released a new full-stack platform and cloud service for developers at startups and enterprises to build open-source AI — which, in turn, serves as a challenge to OpenAI when it comes to targeting developers.
The company, which already supports more than 50 of the top open-source AI models, will also support LLaMA 2. — Read More
Daily Archives: July 20, 2023
How is ChatGPT’s behavior changing over time?
GPT-3.5 and GPT-4 are the two most widely used large language model (LLM) services. However, when and how these models are updated over time is opaque. Here, we evaluate the March 2023 and June 2023 versions of GPT-3.5 and GPT-4 on four diverse tasks: 1) solving math problems, 2) answering sensitive/dangerous questions, 3) generating code and 4) visual reasoning. We find that the performance and behavior of both GPT-3.5 and GPT-4 can vary greatly over time. For example, GPT-4 (March 2023) was very good at identifying prime numbers (accuracy 97.6%) but GPT-4 (June 2023) was very poor on these same questions (accuracy 2.4%). Interestingly GPT-3.5 (June 2023) was much better than GPT-3.5 (March 2023) in this task. GPT-4 was less willing to answer sensitive questions in June than in March, and both GPT-4 and GPT-3.5 had more formatting mistakes in code generation in June than in March. Overall, our findings shows that the behavior of the same LLM service can change substantially in a relatively short amount of time, highlighting the need for continuous monitoring of LLM quality. — Read More
How AI is bringing film stars back from the dead
Celebrities such as James Dean can be brought back to life as digital clones thanks to the power of artificial intelligence, but it is raising troubling questions about what rights any of us have after we die.
Most actors dream of building a career that will outlive them. Not many manage it – show business can be a tough place to find success. Those that do, though, can achieve a kind of immortality on the silver screen that allows their names to live on in lights.
One such icon is the American film actor James Dean, who died in 1955 in a car accident after starring in just three films, all of which were highly acclaimed. Yet now, nearly seven decades after he died, Dean has been cast as the star in a new, upcoming movie called Back to Eden. — Read More
Best AI Music Generators for Your Next Composition in 2023
AI has successfully swamped many industries including healthcare, education, commerce, education, and others. It has impacted and revolutionized our way of running business and has impacted supply chain management. However, a lesser-known contribution of AI is the music industry.
It has started to play a significant role in the music industry, by analyzing large data sets AI can identify patterns and trends that are difficult to predict otherwise. Artificial intelligence can be integrated with music to improve the experience for both artists and listeners.
… In this article, you will find a comprehensive list of some of the best AI music generator software that can be used to improve the quality of music and streaming services. You can find all the peculiar features and benefits of using AI music generators. — Read More
Apple sneaks into the AI chatbot race with ‘Apple GPT’
The iPhone maker has begun prepping an AI chatbot to rival OpenAI’s ChatGPT, Microsoft Bing, and Google Bard.
It’s the news we’ve all been waiting for. Apple is finally throwing its hat in the proverbial generative AI ring and joining, well, everybody else to contest for OpenAI’s artificial intelligence crown.
The news comes through reports from Bloomberg that the company is quietly working on a tool that engineers dub “Apple GPT,” indirectly referring to ChatGPT, the most famous AI chatbot and, until recently, fastest-growing ‘app’ of all time. — Read More
VeLO: Training Versatile Learned Optimizers by Scaling Up
While deep learning models have replaced hand-designed features across many domains, these models are still trained with hand-designed optimizers. In this work, we leverage the same scaling approach behind the success of deep learning to learn versatile optimizers. We train an optimizer for deep learning which is itself a small neural network that ingests gradients and outputs parameter updates. Meta-trained with approximately four thousand TPU-months of compute on a wide variety of optimization tasks, our optimizer not only exhibits compelling performance, but optimizes in interesting and unexpected ways. It requires no hyperparameter tuning, instead automatically adapting to the specifics of the problem being optimized. We open source our learned optimizer, meta-training code, the associated train and test data, and an extensive optimizer benchmark suite with baselines at this http URL. — Read More
AI 100: The most promising artificial intelligence startups of 2023
The AI 100 is CB Insights’ annual list of the 100 most promising private AI companies in the world. This year’s winners are working on generative AI infrastructure, emotion analytics, general-purpose humanoids, and more. — Read More
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