Essential Keras tips: 1. Debug/prototype with eager execution. You can prototype with the PyTorch backend, or even with the NumPy backend if you're only looking at a layer or a forward pass (the NumPy doesn't support gradients/training). With JAX or TF, make sure to use
TOOLS
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Availability and performance comparison of AI inference tools
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Would love to give it a try here in EU. Seems like it is about to catch up with groq at some point
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Find LLM leaderboards: Aymeric Roucher shares ultimate collection by C. Le Fourrier
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Are you trying to find good leaderboards to compare LLMs? @clefourrier is building the ultimate collection here:
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Kirk Borne Receives Updated 3rd Edition on Transformers and Generative AI
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WOW! I just received (minutes ago) my copy of the updated 3rd Edition of this book: http://
amzn.to/3TkBknI
"Transformers for Natural Language Processing and Computer Vision: Explore #GenerativeAI and Large Language Models #LLMs with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3" -
Midjourney’s Profitability Stands Out Among AI Image Tools
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I think Midjourney is hugely profitable. I can't name a second one.
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Claude-3 Opus AI Ghostwriter Enabled in Reactor
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We enabled Claude-3 Opus for all critical writing flows in Reactor . is today. OMG this AI ghostwriter is getting good. To the 1150 people in the beta group, enjoy! The posts it writes are pretty incredible.
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LTX Studio generates consistent multi-style AI videos from prompts
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Same prompt – 3 different versions of the video. Realistic, pixel, and Claymation. This was made with @LTXStudio (I've partnered with them to help show it off).
— Matt Wolfe (@mreflow) 8 mars 2024
Notice the character consistency, the voiceover, sound effects, and even the text at the end… All done with a… pic.twitter.com/n3dj2Ily2FSame prompt – 3 different versions of the video. Realistic, pixel, and Claymation. This was made with @LTXStudio (I've partnered with them to help show it off). Notice the character consistency, the voiceover, sound effects, and even the text at the end… All done with a
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Enterprise Machine Learning: Complete MLOps Platform Capabilities
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Enterprise #MachineLearning requires all this:
1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API
9. #MLOps Guess what?… @AbacusAI platform provides all this capability for you -
ChatGPT introduces new DALL-E image style and aspect ratio controls
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ICYMI: ChatGPT is A/B testing additional DALL-E controls which help enhance your prompts. It comes with a selection of different image styles which you can preview, as well as an aspect ratio control. https://t.co/oDwkUzuFsS pic.twitter.com/ODqtZpXUiZ
— 🚨 AI News | TestingCatalog (@testingcatalog) 7 mars 2024ICYMI: ChatGPT is A/B testing additional DALL-E controls which help enhance your prompts. It comes with a selection of different image styles which you can preview, as well as an aspect ratio control.
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LoRA Land’s Mistral-7B Models Cut Inference Costs Significantly
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LoRA Land's 27 fine-tuned #opensource #mistral-7b #LLMs no only rival #GPT-4, but they're also very cost-effective! Assuming 2M tokens (90% input; 10% output) per adapter per day, you can cut inference costs by 45%-65% vs. GPT-3.5 Turbo and 97%-98% vs. GPT-4 Turbo