Nicolay Gerold
@nicolaygerold
Nicolay Gerold
ColBERT is a
fast
and
accurate
retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds.
Figure 1: ColBERT's late interaction, efficiently scoring the fine-grained similarity between a queries and a passage.
As Figure 1 illustrates, ColBERT relies on fine-grained contextual late interaction : it... See more
fast
and
accurate
retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds.
Figure 1: ColBERT's late interaction, efficiently scoring the fine-grained similarity between a queries and a passage.
As Figure 1 illustrates, ColBERT relies on fine-grained contextual late interaction : it... See more
stanford-futuredata • GitHub - stanford-futuredata/ColBERT: Stanford ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22)
We have lots and lots of customers who want to have specialized models that are cheaper, smaller, and have really high accuracy and performance. They’re saying, “Hey, this is what I want to do. I want to classify this particular defect in the manufacturing process from these pictures really well.” And there, the accuracy matters. Every ounce of... See more
Sarah Wang • What Builders Talk About When They Talk About AI | Andreessen Horowitz
I think ChatGPT will bring a bunch of companies really into AI. They will start out trying to solve things with GPT and then try to figure out how to solve this better with bespoke, smaller model. It could trigger a new AI summer for deep learning.
Qwen-14B is the 14B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-14B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-14B, we release Qwen-14B-Chat, a... See more
Qwen/Qwen-14B-Chat · Hugging Face
The value of data is the value of what you can do with it. Therefore, the more you’re allowed to do — the more usage rights the seller grants you — the more you should be willing to pay! This is a pricing effect that’s completely independent of quality, quantity, dataset internals, or table stakes status.
Common usage rights include:
Common usage rights include:
- Scope of use
How to Price a Data Asset
Product
- Fewer jobs-to-be-done. Focus on just 1-2 jobs-to-be done that are shared by many clients. The more jobs, the harder to productize. You can always expand.
- Scalable access. Find and tap into high-quality talent channels. Mechanical Orchard did this with the Pivotal Labs network (CEO Rob Mee used to run that company). Where’s your leg up?
- Piggyb
The Death of the Big 4: AI-Enabled Services Are Opening a Whole New Market
- Innovation tokens: Companies have limited capacity for innovation. These should be spent on core business problems, not on adopting cutting-edge tech stacks.
- Known vs. unknown unknowns: Established technologies have more known issues, while new technologies often have many unknown problems.
- Operational costs: Adding new technologies increases
Claude
Incorporate checklist to ensure external accountability. They help people Safe cognitive resources for unexpected aspects.
Andrew Huberman • Understand & Improve Memory Using Science-Based Tools
Jitter enables creators and teams to easily design stunning animated content and interfaces.
Jitter · Fast and simple motion design tool.
Google gives you Ten Blue Links, which communicates “it might be one of these - see what you think” (and turns us all into Mechanical Turks, giving Google feedback by picking the best answer). But a chat bot gives you three paragraphs of text with apparent certainty as The Answer, and footnotes, a click-through disclaimer and a ‘be careful!’... See more