OpenLLMetry provides OpenTelemetry-based observability for generative AI and large language model applications.
Open source
24 alternativesmicrosoft/LMOps
This repository describes technologies for enabling AI capabilities with large and multimodal language models.
About microsoft/LMOps
LMOps is a research initiative from Microsoft on fundamental research and technology for building AI products with foundation models. The repository focuses on enabling AI capabilities with large language models (LLMs) and generative AI models. It groups its projects into prompt intelligence, long-context prompting, LLM acceleration, alignment and customization, and fundamental studies of in-context learning. Prompt intelligence covers automatic prompt optimization and extensible prompts that go beyond natural language. LLMA is a方法 for faster inference that copies and verifies text spans from reference documents, and the description reports a 2 to 3 times speed-up without additional models. The page is a repository overview with links to papers and related projects. It does not describe installation steps, dependencies, or support options.
Key features
- Automatic prompt optimization using reinforcement learning (Promptist)
- Extensible prompts that go beyond natural language for fine-grained instructions
- Structured Prompting for long-sequence prompts and many in-context examples
- LLMA, which speeds up LLM inference by reusing text from reference documents
- In-context demonstration selection and universal prompt retrieval
- Alignment via LLM feedback and adaptation of LLMs to specific domains
Best for: Researchers and engineers studying prompting, inference speed, or customization of large language models.
Good for
- Brings several stages of LLM work, from prompting to inference acceleration, into one repository.
- Reports a 2 to 3 times inference speed-up for LLMA without additional models.
- Links each technique to its research paper.
Watch out for
- LLMA's speed-up depends on outputs overlapping with reference text, such as retrieved documents.
- Described as a research initiative, so the projects are research releases rather than finished products.
microsoft/LMOps at a glance
- Website
- github.com/microsoft/LMOps
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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microsoft/LMOps FAQ
What is LLMA?
LLMA is a method for accelerating LLM inference by copying and verifying text spans from references into the model inputs. The description says it is lossless and does not require additional models.
Which scenarios does LLMA apply to?
The description says it applies to scenarios such as retrieval-augmented generation and multi-turn conversations.
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