Year: 2023

Generative AI and Data Dictionary Descriptions

Discover how artificial intelligence (AI) revolutionizes data dictionary descriptions, using the Titanic dataset as our guide. Explore the role of AI in crafting dictionary definitions, personal data classification, and uncovering hidden connections. Learn about the implementation scenario of Gen AI for automating data dictionary definitions and generating tailored descriptions. Experience the efficiency and future directions of AI in data management.

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Pharmaceutical Companies and AI Investments

Discover the seismic shift happening in the pharmaceutical industry as companies like BioNTech, Sanofi, Merck, and AstraZeneca invest heavily in AI. Experience the potential of AI in revolutionizing drug development, personalized medicine, and patient care. Embrace the AI revolution for the betterment of healthcare. #AIinPharma

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Generative AI tools: Endless creativity

Generative AI tools are revolutionizing various industries, from audio to product design. Companies like ElevenLabs and Uizard are experiencing remarkable growth and expanding into new verticals. Synthesia is transforming video creation, while Centaur AI and Clara Labs offer personalized experiences. AI is also automating mundane tasks, giving users more time for meaningful work. Ultimately, the collaboration between humans and AI has the potential to accelerate human progress and create a future of endless possibilities.

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State of Prompt Engineering

Discover the groundbreaking impact of prompt engineering on AI and task performance. Dive deep into the State of Prompt Engineering and unravel its marvels. Explore techniques like Chain of Thought, Tree of Thought, and Graph of Thought. Learn about the Automatic Prompt Engineer and Optimization by Prompting. Consider the potential of these advancements to revolutionize problem-solving. Embrace the changes and advancements in AI and prompt engineering for a more innovative future.

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Does Context Length Matters?

The stateof. ai 2023 report explores the impact of context length on language models’ performance and the need to increase it. While large language models offer few-shot capabilities, context length can be limiting. Innovations like FlashAttention and ALiBi address this issue. However, longer context lengths don’t always guarantee better performance, as research suggests. Proprietary models also handle longer context lengths better than open models. #AI #LanguageModels

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