No. That's just false.
Whenever you can use it, gradient-based optimization is incomparably more efficient than gradient-free, regardless of hardware.
There are situations where you have no choice but use gradient free, you should make that as rare as possible.
When you do, you
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Gradient-Based Optimization Superior to Gradient-Free Methods
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Fine-tuning AI models with specific training data
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Ah nice, I didn’t realise the training data was so specific. Looking forward to eventually fine-tuning this.
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FAIR’s Scientific Breakthroughs and Open-Source Impact
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You seem extremely misinformed.
FAIR has *simultaneously* produced scientific breakthroughs, insanely popular open-source packages, libraries, and platforms (e.g. PyTorch), *and* had an *enormous* impact on the company.
Lots of technologies originally developed at FAIR made their -
ZipLoRA: Efficient Parameter-Efficient Fine-Tuning for Large Language Models
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ZipLoRA https://
bit.ly/46s765G
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Learning JAX as a PyTorch Developer Guide
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Learning JAX as a PyTorch developer https://
bit.ly/49Vz1Os
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Mistral 7b OSS Models LangServe LangSmith Showcase
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Mistral 7b User Showcase + LangServe & LangSmith This great Austin LangChain 102 meetup produced a fantastic educational video covering OSS models, LangServe, and LangSmith https://
youtube.com/watch?v=haad3i
9VROs
… @colinmcnamara for hosting, and @Roger_M_Taylor for bringing to our attn -
NASA Lunar VIPER Mission AI Planning System Success
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During undergrad and after graduation, I spent 3.5 years at @NASA working on the Lunar VIPER mission helping build a system health aware real time planning advisor using the @JuliaLanguage
. It’s so cool to see this coming together for the mission: -
Guide to Starting Machine Learning in 2023
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The guide "Start Machine Learning in 2023": https://
github.com/louisfb01/star
t-machine-learning
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Practical Guide: Master AI with Kaggle, NLP and LLM
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The guide promotes practice, offering advice on platforms like Kaggle and covering topics like NLP and Large Language Models. It also provides resources to improve coding skills for beginners.
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Error Correction Codes in Language versus Video Models
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Good point. But, is the redundancy in language the same as in video? Do both contain the same type of error-correction information? We can design for better error correction codes, so I’m not sure they’re the same