The AI-Driven Truth Crisis Explore the complex interplay between #AI advancements and the potential erosion of #truth in our digital landscape. Delve into the dual nature of AI technologies, such as #deepfakes, which, while innovative, also pose significant #risks to the
GENERATIVE AI
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Agentic AI: The Next Breakthrough Transforming Business Technology
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Agentic AI: The Next Big Breakthrough That's Transforming Business And Technology #AgenticAI is poised to revolutionize how we interact with #artificialintelligence, promising more #autonomous and goal-oriented systems. This cutting-edge #technology could reshape industries from
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Rob Minkoff on AI’s Impact on Film Direction
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I had the privilege of getting to speak with Rob Minkoff, the director of 1994's Lion King, about the impact of AI on film. Rob told me he's optimistic about the application of AI in film – but warned it's still a "Wild West" with issues to iron out.
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Perplexity Expands to Korea with Warm Welcome
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Perplexity in Korea! Thank you for the warm welcome https://
x.com/AravSrinivas/s
/AravSrinivas/status/1831552418343219286
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Bridging the Gap Between AI Potential and Current Implementation
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because i feel a gap between potential of technology and current state of usage
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AI Training Progress Requires Years More Data and Compute
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Sadly you will need about 2-4 more years of training data, additional compute, and a bunch of post training before you can expect major improvements.
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Google Gemini service criticized for understaffing issues
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Google Gemini seems like it’s only Logan working on it. The service is a mess.
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SambaNova Reduces AI Energy Consumption with Llama Meta
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Just listened to this insightful episode of @BBCRadio4 The Artificial Human with @aleksk and @Kevin_Fong
, where they discuss the problem of high energy consumption in AI. https://
bbc.co.uk/sounds/play/m0
0208g4
… With our record breaking performance, SambaNova is proud to run Meta’s Llama -
Prompt Engineering Integration into Model Training Approaches
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honestly some of the technical details of AI models are beyond me. love the simplicity of this approach! prompt engineering getting baked into model training!
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Generate Synthetic Data for LLM Fine-Tuning with Minimal Examples
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Is a lack of data holding you back from training your next model?
— Predibase by Rubrik (@predibase) 5 septembre 2024
Learn how you can generate synthetic data from as few as 10 seed examples for fine-tuning an LLM that outperforms GPT-4.
Watch this 90-second or try for yourself with our free trial: https://t.co/XX3F43IRMu pic.twitter.com/1aWOigZtp1Is a lack of data holding you back from training your next model? Learn how you can generate synthetic data from as few as 10 seed examples for fine-tuning an LLM that outperforms GPT-4. Watch this 90-second or try for yourself with our free trial: https://
pbase.ai/47iRWlq