Topbots
NOVEMBER 27, 2023
AI assistants automate the completion of frequently used functions and code statements, minimizing repetitive typing and reducing the likelihood of errors. AI developer tools generate initial drafts of new code, providing a solid foundation for further development and accelerating the coding process. Code Generation.
IBM Journey to AI blog
FEBRUARY 13, 2024
Tools such as Midjourney and ChatGPT are gaining attention for their capabilities in generating realistic images, video and sophisticated, human-like text, extending the limits of AI’s creative potential. Imagine training a generative AI model on a dataset of only romance novels.
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Pickl AI
SEPTEMBER 21, 2023
ChatGPT is not just another AI model; it represents a significant leap forward in conversational AI. With its ability to engage in natural, context-aware conversations, ChatGPT is reshaping how we communicate with machines. Ensuring the safety of the model in real-world applications is paramount.
Snorkel AI
MAY 4, 2023
Details at a glance: Date: June 7 – 8, 2023 Time: 8am – 2:30pm PT / each day Format: Virtual and free Register for free today Data-centric AI: vital now more than ever AI has experienced remarkable advancements in recent months, driven by innovations in machine learning, particularly deep learning techniques.
Snorkel AI
MAY 4, 2023
Details at a glance: Date: June 7 – 8, 2023 Time: 8am – 2:30pm PT / each day Format: Virtual and free Register for free today Data-centric AI: vital now more than ever AI has experienced remarkable advancements in recent months, driven by innovations in machine learning, particularly deep learning techniques.
Snorkel AI
JUNE 7, 2023
They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering.
Snorkel AI
JUNE 7, 2023
They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering.
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