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anantashahane merged 2 commits into from
Jun 16, 2026
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Docs/llm #152

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c37d094
Updated LLM section of the docs.
anantashahane Jun 16, 2026
c53dee0
Updated LLM section of the README.
anantashahane Jun 16, 2026
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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -153,6 +153,8 @@ BLADE supports integration with various LLM APIs to facilitate automated design
| **Ollama** | A platform offering access to various LLMs, enabling local and cloud-based model deployment. [Reference](https://www.ollama.ai/) | Integration details can be found in their official documentation. |
| **Claude** | Anthropic's Claude models for safe and capable language generation. [Reference](https://www.anthropic.com/) | Accessed via the Anthropic API. |
| **DeepSeek** | Developer of the DeepSeek family of models for code and chat. [Reference](https://www.deepseek.com/) | Access via OpenAI compatible API at `https://api.deepseek.com`. |
| **LMStudio** | A hardware specialised platform for Apple Silicon, helping you run massive LLMs locally on M1 or better Macs. [Reference](https://lmstudio.ai) | Provides a local OpenAI-compatible server, allowing integration via standard OpenAI client libraries pointed at a localhost endpoint. |
| **MLX_LM** (`Beta`) | A hardware specialised python package for Apple Silicon, helping you run massive LLMs locally on M1 or better Macs. [Reference](https://github.com/ml-explore/mlx-lm) | Used via Python APIs and CLI tools, often integrated into local inference workflows and Apple MLX pipelines. |


### Evaluating against Human Designed baselines
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6 changes: 6 additions & 0 deletions docs/index.rst
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Expand Up @@ -225,6 +225,12 @@ BLADE supports integration with various LLM APIs to facilitate automated design
* - **DeepSeek**
- Developer of the DeepSeek family of models for code and chat. `Reference <https://www.deepseek.com/>`_
- Access via OpenAI compatible API at ``https://api.deepseek.com``.
* - **LMStudio**
- A hardware specialised platform for Apple Silicon, helping you run massive LLMs locally on M1 or better Macs. `Reference <https://lmstudio.ai>`_
- Provides a local OpenAI-compatible server, allowing integration via standard OpenAI client libraries pointed at a localhost endpoint.
* - **MLX_LM** (Beta)
- A hardware specialised python package for Apple Silicon, helping you run massive LLMs locally on M1 or better Macs. `Reference <https://github.com/ml-explore/mlx-lm>`_
- Used via Python APIs and CLI tools, often integrated into local inference workflows and Apple MLX pipelines.

Evaluating against Human Designed Baselines
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