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The expertise of GPT3.5 at the industrial scale.

If you are tired of your requests to access ChatGPT being waitlisted repeatedly, Microsoft has some good news for you. The chatbot is coming soon to Azure Open AI services, where businesses can access the most advanced artificial intelligence (AI) in the world, the company said in a press release.

ChatGPT, the chatbot released on November 30 last year, has caught the imagination of engineers and non-engineers alike. The large language model used by the platform allows the AI to help answer user queries in a conversational style.


NurPhoto/Getty.

Microsoft teamed up with OpenAI in July 2019 to accelerate breakthroughs in the field of AI. On its part, Microsoft used its expertise in computing to build AI supercomputers exclusively for OpenAI and, since November 2021, has been offering the Azure OpenAI service for enterprise customers.

Tel-Aviv-based AI21 Labs launched today Wordtune Spices, a writer-augmentation tool based on generative AI. Selecting from 12 different cues, writers can generate a range of textual options to add to and enhance sentences. Spices can also suggest statistics to strengthen an argument or sharpen a detail.

AI21 says Spices is not intended to replace writers but to function as a writing assistant, suggesting additional complete sentences that improve and enhance the text that is being written. It could help refine and enrich the main message of the text, bolster and enrich arguments, and add creative expressions such as a joke or inspirational quote.


AI21 is addressing the limitations of Large Language Models (LLM) by combining deep learning with old-fashioned AI.

Over the last decade, the landscape of machine learning software development has undergone significant changes. Many frameworks have come and gone, but most have relied heavily on leveraging Nvidia’s CUDA and performed best on Nvidia GPUs. However, with the arrival of PyTorch 2.0 and OpenAI’s Triton, Nvidia’s dominant position in this field, mainly due to its software moat, is being disrupted.

This report will touch on topics such as why Google’s TensorFlow lost out to PyTorch, why Google hasn’t been able to capitalize publicly on its early leadership of AI, the major components of machine learning model training time, the memory capacity/bandwidth/cost wall, model optimization, why other AI hardware companies haven’t been able to make a dent in Nvidia’s dominance so far, why hardware will start to matter more, how Nvidia’s competitive advantage in CUDA is wiped away, and a major win one of Nvidia’s competitors has at a large cloud for training silicon.

Join Our Discord to enter the giveaway (and comment with your username (without the at!)): https://discord.gg/learnaitogether.

Attend WAICF with a 20% discount: https://www.worldaicannes.com/pass/executive-pass/?utm_campa…ICF23-LOBO

References:
►Read the full article: https://www.louisbouchard.ai/vall-e/
►Link for the audio samples: https://valle-demo.github.io/
►Wang et al., 2023: VALL-E. https://arxiv.org/pdf/2301.02111.pdf.
►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/

Chapters:
0:00 Hey guys, we are going to host tons of cool (and free) events on Discord, join us!
1:01 VALLE
6:09 Giveaway (and how to participate)

#deepfake #artificialintelligence #VALLE

“AI needs to be fair and ethical for everyone,” said lawyer/programmer Matthew Butterick. “But Stability AI, Midjourney, and DeviantArt are appropriating the work of thousands of artists with no consent, no credit, and no compensation. As a lawyer who is also a longtime member of the visual-arts community, it’s a pleasure to stand up on behalf of fellow artists and continue this essential conversation about how we the people want AI to coexist with human culture and creativity.”

Since its founding in 2000, DeviantArt had grown to be a haven for artists of all stripes. A core aspect of participating in the DeviantArt community for artists is the practice of sharing digital images of their artwork. Today, DeviantArt bills itself as “the world’s largest art community,” hosting millions of images. At the same time, it offers DreamUp, a product that unlawfully infringes on the rights of its own art community. To add insult to injury, a large portion of the training data for Stable Diffusion—which powers DreamUp—was made up of images scraped from DeviantArt without permission from the artists that posted them.

For more information, please see our case page www.saverilawfirm.com/ai-art-generators-copyright-litigation and our case website stablediffusionlitigation.com.

TOKYO/BEIJING — China is the undisputed champion in artificial intelligence research papers, a Nikkei study shows, far surpassing the U.S. in both quantity and quality.

Tencent Holdings, Alibaba Group Holding and Huawei Technologies are among the top 10 companies producing AI research, according to the study. The Chinese contingent is steadily gaining representation in an area dominated by U.S. players.

The essence of the Turing Test revolves around whether a computer can successfully impersonate a human. The test is to be put into practice under a set of detailed conditions which rely on human judges being connected with test subjects (a computer and a person) solely via an instant messaging system or its equivalent. That is, the only information which will pass between the parties is text.

To pass the test, a computer would have to be capable of communicating via this medium at least as competently as a person. There is no restriction on the subject matter; anything within the scope of human experience in reality or imagination is fair game. This is a very broad canvas encompassing all of the possibilities of discussion about art, science, personal history, and social relationships. Exploring linkages between the realms is also fair game, allowing for unusual but illustrative analogies and metaphors. It is such a broad canvas, in my view, that it is impossible to foresee when, or even if, a machine intelligence will be able to paint a picture which can fool a human judge.

While it is possible to imagine a machine obtaining a perfect score on the SAT or winning Jeopardy—since these rely on retained facts and the ability to recall them—it seems far less possible that a machine can weave things together in new ways or to have true imagination in a way that matches everything people can do, especially if we have a full appreciation of the creativity people are capable of. This is often overlooked by those computer scientists who correctly point out that it is not impossible for computers to demonstrate creativity. Not impossible, yes. Likely enough to warrant belief in a computer can pass the Turing Test? In my opinion, no. Computers look relatively smarter in theory when those making the estimate judge people to be dumber and more limited than they are.