Nicolay Gerold

Jack Dorsey: great ability to sit back and listen, not inflicting opinions and judgments, questions to lead towards the key mission and values of the company.

The best vertical AI solutions will be like a functional worker who is also a team player: expert in their core task (summarization, for instance), but also diligent in updating the horizontal systems of record that the broader organization relies on

Data bases have gotten so good at this, that the term is almost misleading now. “Base” suggests something rigid, without which the data would slip away. But the data is always there, just bits on a nameless hard disk. The structure and the accessibility that a modern database provides exist completely independently from that hard disk. That’s right... See more

Introduction

VT.ai is a multi-modal AI Chatbot Assistant, offering a chat interface to interact with Large Language Models (LLMs) from various providers. Both via remote API or running locally with Ollama.

The application supports multi-modal conversations, seamlessly integrating text, images, and vision processing with LLMs.

[Beta] Multi-modal AI... See more

Elasticsearch at Twitter

Elasticsearch is a search engine based on the Lucene library. It is a popular open source tool widely used in industry and is known for its distributed nature, speed, scalability, and simple REST APIs.

The Search Infrastructure team builds infrastructure to host search as a service. Since we are such a central... See more

When it comes to identifying where generative AI can make an impact, we dig into challenges that commonly:

• Involve analysis, interpretation, or review of unstructured content (e.g. text) at scale


• Require massive scaling that may be otherwise prohibitive due to limited resources


• Would be challenging for rules-based or traditional ML approaches

It’s highly individual to genes, epigenetics and environment on what diet your body can thrive.

Dynamically route every prompt to the best LLM. Highest performance, lowest costs, incredibly easy to use.

There are over 250,000 LLMs today. Some are good at coding. Some are good at holding conversations. Some are up to 300x cheaper than others. You could hire an ML engineering team to test every single one — or you can switch to the best one

... See more

One thing that is still confusing to me, is that we've been building products with machine learning pretty heavily for a decade now and somehow abandoned all that we have learned about the process now that we're building "AI".

The biggest thing any ML practitioner realizes when they step out of a research setting is that for most tasks accuracy has... See more