Master #LLM fine-tuning with all of our best practices in our new guidebook: Benefits of #FineTuning and when to do it How to prepare your #data set What it takes to manage training + serving #infra How to reliably and #efficiently fine-tune https://
pbase.ai/3wrZlA8
GENERATIVE AI
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Master LLM Fine-tuning: Best Practices Guidebook
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Quick poem generator demo for Valentine’s Day
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Need a quick #poem for someone special? Check out this demo for inspiration. #ValentinesDay #ValentinesDay2024 #BetterOnGroq https://
hubs.ly/Q02l6l5q0 -
AI Memory Management and Privacy Features Explained
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According to the blog post about it, you can see what's saved in memory and remove any of it. You can also have what are essentially "incognito" chats that don't save or store anything.
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OpenAI and Microsoft Azure Drive AI Innovation Across Industries
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The synergy between OpenAI and Microsoft Azure is powering innovation across industries! From education to finance, AI is the driving force. Follow @ingliguori for more on how AI is shaping our world. #AI #DigitalTransformation #TechTrends
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iPhone 16 Gets Powerful Neural Engine for iOS 18 AI
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iPhone 16 Rumored to Feature 'Significantly' Upgraded Neural Engine for iOS 18's Generative AI Features – MacRumors
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NVIDIA TensorRT-LLM Integration Boosts Inference Performance
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We've been collaborating with @nvidia to integrate TensorRT-LLM with our inference service, and the results are exciting! Using TensorRT-LLM, we can deliver a significant improvement in both time to first token and time per output token. https://
bit.ly/3Hd7vyR -
Neural Radiance Fields Transform 3D Content Creation from 2D Images
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Join our experts at #GTC24 to explore neural radiance fields and how they simplify creating 3D content from overlapping 2D images.
— NVIDIA AI (@NVIDIAAI) 14 février 2024
Register here: https://t.co/frDqklexSm pic.twitter.com/PZdYhdV0b3Join our experts at #GTC24 to explore neural radiance fields and how they simplify creating 3D content from overlapping 2D images. Register here: https://
nvda.ws/3UpGe3V -
Replicate’s Speech-to-Text Models: Faster and Cheaper Than Whisper
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Did you know that Replicate has speech-to-text models for transcribing audio? They're actually super good, thanks to the open source community. Like not to brag but this model runs 9x faster and 10x cheaper than OpenAI's Whisper API. That's kinda crazy
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Mixtral 8x7B Instruct Model Performance Analysis and Pricing Comparison
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See https://
artificialanalysis.ai/models/mixtral
-8x7b-instruct
… for a full breakdown, including throughput, latency and pricing, with analysis of variance, performance over time and comparison to other API providers.
