Nicolay Gerold
@nicolaygerold
Nicolay Gerold
- By limiting their hiring and instead emphasizing the integration of AI into everyday workflows, Ramp itself has been highly human capital efficient, getting to $300m in annualized revenue with just c.500 FTEs .”
- “Finance work moving from humans to autonomous AI agents portends a shift from seats in payroll in Rippling ($135m revenue in 2022) towards
Alexandre Dewez • 📖 Venture Chronicles - September 2023
The concept of 👞 The FITD Effect , is that small acts of compliance can snowball.
There are other names, like the Spark Effect, but in short: agreeing to one small thing, makes agreeing to a second slightly more likely.
It could be agreeing to a favour, answering a street-seller's introductory question of " Excuse me, do you like dogs? ", or even... See more
There are other names, like the Spark Effect, but in short: agreeing to one small thing, makes agreeing to a second slightly more likely.
It could be agreeing to a favour, answering a street-seller's introductory question of " Excuse me, do you like dogs? ", or even... See more
A checkout designed for impulse purchases
latest research on text embeddings!
TLDR: Vector databases are NOT safe. Text embeddings can be inverted. We can do this exactly for sentence-length inputs and get very close with paragraphs...
TLDR: Vector databases are NOT safe. Text embeddings can be inverted. We can do this exactly for sentence-length inputs and get very close with paragraphs...
jack morris • Tweet
They also released a really clean Python library for doing embedding inversion (https://github.com/jxmorris12/vec2text/) and some models for inverting openAI ada 2 embeddings.
An agent can be thought of as a logical wrapper around an LLM, allowing us to add several features to our AI systems, primarily:
- Tool usage, such as calling APIs for info, executing code,
- Internal thoughts over multiple generation steps
- Ability to use various tools and reasoning steps to answer more complex queries.
- Parallel agents can go and complete
James Briggs • LLMs Are Not All You Need | Pinecone
Depending on your use case, batching may help . If you are sending multiple requests to the same endpoint, you can batch the prompts to be sent in the same request. This will reduce the number of requests you need to make. The prompt parameter can hold up to 20 unique prompts. We advise you to test out this method and see if it helps. In some... See more
OpenAI Platform
Prolactin: opposite of dopamine.
Andrew Huberman • How to Increase Motivation & Drive | Huberman Lab Podcast #12
K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances.
K3s
RedPajama-V2 is an open dataset for training large language models. The dataset includes over 100B text
documents coming from 84 CommonCrawl snapshots and processed using
the CCNet pipeline. Out of these, there are 30B documents in the corpus
that additionally come with quality signals. In addition, we also provide the ids of duplicated documents... See more
documents coming from 84 CommonCrawl snapshots and processed using
the CCNet pipeline. Out of these, there are 30B documents in the corpus
that additionally come with quality signals. In addition, we also provide the ids of duplicated documents... See more
togethercomputer/RedPajama-Data-V2 · Datasets at Hugging Face
Problem:
Opportunity:
Solution:
- People aren't ordering drinks with their meals: While 95% of Americans have access to alcohol delivery, only 10% place orders.
Opportunity:
- Put a tasty beverage in the hands of the 100+ million Americans ordering delivery food, right when they need one.
- Food delivery apps can nearly double cart size and revenue.
Solution: