Nicolay Gerold

Prioritize work to minimize opportunity cost. This prevents you from only pursuing incremental futures. In each quarter how much time to allocate incremental ~ 60%, to big new initiatives ~30%, to guidance & infrastructure ~10%.

multimodal-maestro

👋 hello

Multimodal-Maestro gives you more control over large multimodal models to get the outputs you want. With more effective prompting tactics, you can get multimodal models to do tasks you didn't know (or think!) were possible. Curious how it works? Try our HF space!

I think there are certain capabilities that we should be very cautious of, if not just rule out, for the foreseeable future.

Such as?

I guess things like recursive self-improvement. You wouldn’t want to let your little AI go off and update its own code without you having oversight. Maybe that should even be a licensed activity—you know, just like... See more

t on LLMs and SQL highlighting why they don’t consistently work :

• “LLMs can write SQL, but they are often prone to making up tables, making up field”


• “LLMs have some context window which limits the amount of text they can operate over”


• “The SQL it writes may be incorrect for whatever reason, or it could be correct but just return an unexpected

... See more

Ensuring relevant metadata (e.g., date ranges, file names, ownership) is extracted and searchable is crucial for improving search results.

• Extract relevant metadata from your documents


• Include metadata in your search indexes


• Use query understanding to extract metadata from user queries


• Expand search queries with relevant metadata to improve results

For... See more

SQL Studio

Single binary, single command SQL database explorer. SQL studio supports SQLite , libSQL , PostgreSQL , MySQL and DuckDB .

Local SQLite DB File

sql-studio sqlite [sqlite_db]

Remote libSQL Server

sql-studio libsql [url] [auth_token]

PostgreSQL Server

sql-studio postgres [url]

MySQL/MariaDB Server

sql-studio mysql [url]

Local DuckDB File

sq... See more

GenAI has a user retention problem. And low user retention means GenAI products are not yet providing enough value to their core users to reduce churn or to gain much time in product when looking at DAUs and MAUs compared to other apps.

This is where and why there will be consolidation in the GenAI space. I expect tons of tools to merge in a few... See more

pg_vectorize: a VectorDB for Postgres

A Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls.

This project relies heavily on the work by pgvector... See more

With a Two Tower Model, you generate embedding vectors for the user and for all the content you need to retrieve/rank. An embedding vector is just a compact representation that captures the attributes and relationships of an item in a machine-learning-friendly vector.

Once you have these embedding vectors, you can look at the similarity between a... See more