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1. DuckDB: In-Process Python Analytics for Not-Quite-Big Data

   An in-process analytics database, DuckDB can work with surprisingly large data sets without having to maintain a distributed multiserver system. Best of all? You can analyze data directly from your Python app.

   2024-06-02 Tags: duckdb, python, analytics, database, big data, sql, panda_s, data engineering by klotz
2. Quadratic - The Infinite Canvas Spreadsheet with Code

   Quadratic is a modern spreadsheet that combines the familiarity of a spreadsheet with the power of code, allowing you to work with data and code collaboratively in real-time. It supports popular programming languages like Python, SQL, and JavaScript, and offers features such as dynamic charts, APIs, multi-line formulas, and AI integration.

   2024-05-26 Tags: quadratic, spreadsheet, data analysis, code, python, sql, llm, collaboration, data visualization by klotz
3. Introducing pg_timeseries: Open-source time-series extension for PostgreSQL

   pg_timeseries is an open-source PostgreSQL extension focused on creating a cohesive user experience around the creation, maintenance, and use of time-series tables. It allows users to create time-series tables, configure the compression and retention of older data, monitor time-series partitions, and run complex time-series analytics functions with a user-friendly syntax.

   2024-05-21 Tags: postgres, time-series, database, sql by klotz
4. Chess.com boosts performance, cuts response times by 71% with Cloud SQL Enterprise Plus

   Launched in 2007, Chess.com is a premium platform for online chess and one of the largest of its kind. A Cloud SQL for MySQL shop, it transitioned to Cloud SQL Enterprise Plus edition, improving the user experience, cutting costs, and significantly reducing response times, decreasing p99 latency response from 14ms to 4ms. Read on to learn more.

   2024-03-13 Tags: google cloud, gcp, chess.com, sql, production engineering by klotz
5. QueryGPT — Harnessing Generative AI To Query Your Data With Natural Language

   A prototype tool powered by Large Language Models to make querying your databases as easy as saying the word.
   
   - Introduction to QueryGPT, a tool using Large Language Models (LLMs) for natural language database queries
   - Focus on implementing a basic iteration of the system, with potential for significant enhancements
   - Aim is to provide the LLM with the database schema and have it answer questions based on that context
   - Discussion on prompt engineering, which is designing inputs for generative AI tools to produce optimal results

   2024-02-02 Tags: query, q and a, python, sql, llm by klotz
6. Fine-Tune Your Own Open-Source LLM Using the Latest Techniques

   Tune a base LLama2 LLM to output SQL code. with Parameter Efficient Fine-Tuning techniques to optimise the process.

   2023-12-17 Tags: llm, llama 2, fine tuning, sql by klotz
7. Leveraging GPT Models to Transform Natural Language to SQL Queries

   training GPT to query with few-shot prompting.

   2023-10-05 Tags: gpt, llm, sql, nlp, code generation, few-shot, prompt by klotz
8. Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Models to Unique Applications

   2023-08-19 Tags: llama-2, fine tuning, llm, sql, generation by klotz
9. [2204.00498] Evaluating the Text-to-SQL Capabilities of Large Language Models

   2023-07-24 Tags: text, sql, llm, rajkumar by klotz
10. LLMs and SQL

    when prompting Codex with the CREATE TABLE commands, which include column names, their types, column references, and keys.

    2023-07-24 Tags: langchain, sql by klotz

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