DataLLMs can dramatically increase the efficacy of your organization. They are much more effective than having to go through a mountain of reports that no one looks at. Abacus can set up a DataLLM for you in a couple of days. Read this: https://
blog.abacus.ai/blog/2023/08/2
4/data-llm-get-insights-from-your-data/
… 13/13
@abacusai
-
DataLLMs Boost Organization Efficiency in Days
By
–
-
ChatGPT-like Interface with History Tracking and Data Visualization
By
–
UX Interface: Last but not least, you will ideally want a ChatGPT-like interface with the ability to track history, have threaded conversations, and display tables and charts. 12/13
-
SQL Query Execution and LLM Result Summarization Process
By
–
The orchestrator then routes the SQL query to the data source where it gets executed. Once the results are returned, you will have to make one more call to the LLM to summarize these results. Sometimes, multiple SQL queries are required for harder more nuanced questions 10/13
-
Flexible LLM Options: Closed-Source and Custom Models
By
–
LLMs: You can use closed-source (e.g. GPT-4) or your own custom LLM (Abacus-Giraffe or Llama2). You can compare and contrast whichever LLM works for you and pick the best one 11/13
-
Orchestrator Retrieves Tables and Metadata for SQL Query Generation
By
–
When the query comes in the orchestrator will ask the doc retriever for the relevant tables and meta-data that map to the query. It will then send the query along with the meta-data to the LLM will will generate the SQL query. 9/13
-
Document Retriever Integration with LLM for SQL Query Construction
By
–
We have to use information from the doc retriever to feed to the LLM to construct the SQL queries. Orchestration layer: This is the layer that talks to the LLM, doc retriever, and your database. 8/13
-
Data LLMs: Unlocking Hidden Insights from Your Data
By
–
Your data always has a story to tell, but most organizations don't know what it is. We built Data LLMs. It understands the patterns in your data and extracts hidden insights from it. Read our blog post: https://
blog.abacus.ai/blog/2023/08/2
4/data-llm-get-insights-from-your-data/
… -
New Space Shows Expected Consolidation Pattern Among Companies
By
–
We are seeing what you expect to see in a new and exciting space: A large number of companies are being started in this space and over time, we will see a lot of consolidation and a handful of key players emerge. /17
-
Emergence of Specialized Domain-Specific LLMs in Finance and Law
By
–
In some very specific cases, we will also see some very specialized LLMs emerge – e.g. financeLLM or LegalLLM. These domain-specific LLMs that may require a lot of custom training, RLHF, and fine-tuning. /16
-
LLMOps Platforms Enable Flexible LLM Selection for Enterprises
By
–
Companies will use LLMOps platforms such as Abacus to automate an end-to-end workflow. These platforms will offer a combination of open-source LLMs and closed-sourced APIs. Companies should be free to pick and choose an LLM based on cost, performance, and time to market. /15