LFX Mentorship Active 2026
AI-assisted extraction of architectural parameters from RISC-V specifications
RISC-V1 Program Years
AI-assisted extraction of architectural parameters from RISC-V specifications
Open Source
About the Organization
1) Develop prompts & context size for LLMs that identify architectural parameters in the RISC-V privileged and unprivileged spec. a) Give examples from the manually created list (in UDB). b) Identify with textual excerpt from the specs. c) Classify the parameters as either dependent on a configuration, named or unnamed. 2) Use those prompts to collect a list of parameters using at least two different LLMs and the parameters documented in UDB. 3) Refine the prompts to address any differences between LLM and UDB results, as needed. a) Filter out any hallucinations as negative examples, e.g. doesn’t fall into any of the 1(c) categories or falls into the wrong category (could be context size dependent). b) Use some missing parameters as further prompt examples. 4) Create a Github PR to insert tags into the spec for each parameter in the resulting list, giving unique names to unnamed parameters according to the tag format spec, and using existing parameter names as examples.
Primary Technologies & Languages
llms for textual gen-aicoding assistantsgenerative ai or “classical ai”, especially natural language processingunderstanding and using architectural specificationsanalytical and presentation skillsgenerative ai or “classical ai”especially natural language processing
Technical Topics & Focus Areas
llms for textual gen-aicoding assistantsgenerative ai or “classical ai”, especially natural language processingunderstanding and using architectural specificationsanalytical and presentation skillsgenerative ai or “classical ai”especially natural language processing
Participation Years
Completed Projects Distribution
Annual Completed Projects History
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2026
Projects1
Years Active1
Stackllms for textual gen-ai
TierTier 1
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AI-assisted extraction of architectural parameters from RISC-V specifications Mentorship Project
Intermediate1) Develop prompts & context size for LLMs that identify architectural parameters in the RISC-V privileged and unprivileged spec. a) Give examples from the manually created list (in UDB). b) Identify with textual excerpt from the specs. c) Classify the parameters as either dependent on a configuration, named or unnamed. 2) Use those prompts to collect a list of parameters using at least two different LLMs and the parameters documented in UDB. 3) Refine the prompts to address any differences between LLM and UDB results, as needed. a) Filter out any hallucinations as negative examples, e.g. doesn’t fall into any of the 1(c) categories or falls into the wrong category (could be context size dependent). b) Use some missing parameters as further prompt examples. 4) Create a Github PR to insert tags into the spec for each parameter in the resulting list, giving unique names to unnamed parameters according to the tag format spec, and using existing parameter names as examples.