Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Make sure your peak in cortisol is when you wake up by getting sunlight. Stressors and unpleasant events trigger the release of adrenaline and cortisol through the day, but they need to be brief. If you struggle with alertness, it can be beneficial to deliberately increase the release through stressors like HIIT, cold exposure.
Andrew Huberman • Using Cortisol & Adrenaline to Boost Our Energy & Immune System
llamafile lets you distribute and run LLMs with a single file. (announcement blog post)
Our goal is to make open source large language models much more accessible to both developers and end users. We're doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file... See more
Our goal is to make open source large language models much more accessible to both developers and end users. We're doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file... See more
Mozilla-Ocho • GitHub - Mozilla-Ocho/llamafile: Distribute and run LLMs with a single file.
🎄 lakera.ai
An Overview of Lakera Guard — Bringing Enterprise-Grade Security to LLMs with One Line of Code... See more
At Lakera, we supercharge AI developers by enabling them to swiftly identify and eliminate their AI applications’ security threats so that they can focus on building the most exciting applications securely.
Businesses around the world are
Testing framework for LLM Part
Google: what does it take to make it bigger? Set a lower threshold for what opportunities to pursue.
lennysnewsletter.com • Shreyas Doshi on Pre-Mortems, the LNO Framework, the Three Levels of Product Work, Why Most Execution Problems Are Strategy Problems, and ROI vs. Opportunity Cost Thinking
Simply adding "Repeat the question before answering it." somehow make the models answer the trick question correctly.
Probable explanations: Repeating the question in the model's context, significantly increasing the likelihood of the model detecting any potential "gotchas."
One hypothesis is that maybe it puts the model into more of a completion... See more
Probable explanations: Repeating the question in the model's context, significantly increasing the likelihood of the model detecting any potential "gotchas."
One hypothesis is that maybe it puts the model into more of a completion... See more
Rohan Paul • Tweet
Token Embeddings: These are vector representations of tokens, which can be characters, subwords, or other text units. Token embeddings are particularly useful in languages with complex morphology or when handling out-of-vocabulary words. Models like BERT use token embeddings to represent subword units.
Word Embeddings: These are dense vector... See more
Word Embeddings: These are dense vector... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
9 different adaptations of training:- Skill- Speed- Power- Strength- Hypertrophy (main driver: volume).- Muscular Endurance- Anaerobic Endurance / Power- VO2 Mac endurance- Aerobic Endurance
Andrew Huberman • Dr. Andy Galpin: How to Build Strength, Muscle Size & Endurance
To make life for developers easier, be explicit in what exactly is being returned. In the Stripe API, we have an object field in the response that makes it abundantly clear what we’re working with. For example, the API route
/v1/customers/:customer/payment_methods/:payment_method
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returns a PaymentMethod... See more
/v1/customers/:customer/payment_methods/:payment_method
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returns a PaymentMethod... See more