We need to deploy a private language model for a financial advisory firm, how do open source options like Llama compare to commercial APIs for security?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to deploy a private language model for a financial advisory firm, how do open source options like Llama compare to commercial APIs for security?
4 real searches · 1 real-search pass
Meta Llama official license acceptable use policy model weights commercial deployment securityGoogle ↗
OBSERVEDComparison
OpenAI API enterprise data privacy retention encryption SOC 2 official documentationGoogle ↗
OBSERVEDOther / navigational
AWS Bedrock data protection prompts not used to train models encryption private connectivity officialGoogle ↗
OBSERVEDOther / navigational
FINRA generative AI cybersecurity data privacy guidance financial firmsGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (4)
Classes come from the query-classifier (a local Laya model). 4 of 4 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT4 real searches · gpt-6
Meta Llama official license acceptable use policy model weights commercial deployment security Google ↗
OpenAI API enterprise data privacy retention encryption SOC 2 official documentation Google ↗
AWS Bedrock data protection prompts not used to train models encryption private connectivity official Google ↗
FINRA generative AI cybersecurity data privacy guidance financial firms Google ↗
- Data controls in the OpenAI platform · developers.openai.com
- Enterprise privacy at OpenAI · openai.com
- Security, privacy, and responsible AI – Amazon Bedrock · aws.amazon.com
- Data encryption · docs.aws.amazon.com
- Anthropic enterprise · anthropic.com
- How FINRA Member Firms Use GenAI · finra.org
Queries
4 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Meta Llama official license acceptable use policy model weights commercial deployment security OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
OpenAI API enterprise data privacy retention encryption SOC 2 official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
AWS Bedrock data protection prompts not used to train models encryption private connectivity official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
FINRA generative AI cybersecurity data privacy guidance financial firms OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |