[{"name":"json","type":"string","signature":"string json","value":{"name":"json","type":"string","value":"{\"text\":\"- Wrote first repport covering general ML concepts and the capability of Pocket Network Morse.\\n- Released a Local-Net [proof of concept](https://github.com/pokt-scan/pocket-ml-testbench/tree/main/morse-localnet-poc) for the Pocket Network (Morse)\\\\. The Local-Net features two ML services: LLM and Diffusion Models (text to image generation).\\n- Updated pocket-core and pocket-localnet repos (POKTscan forks) to support ML relays:\\n    - The default mesh config timed-out on ml calls (both LLM and Diffusers).\\n    - The pocket core had a limit of 1 MB incoming RPC sizes, a parameter was added to make this configurable and enforced in a more modular fashion.\\n    - The relayer app of pocket-localnet was updated to allow response dumping and custom relays (this will only be used for the proof of concept).\\n- Released guides to deploy ML models:\\n    - LLM using vLLM backend and OpenAI API compatibility: https://github.com/pokt-scan/pocket-ml-testbench/tree/main/model-deployment/llm\\n    - Diffusers using a custom backend that looks to be like Stable Diffusion API (needs more work) https://github.com/pokt-scan/pocket-ml-testbench/tree/main/model-deployment/diffusers \\n- Started work on benchmarking process:\\n    - Conceptual designed almost settled.\\n    - Started to work on lm-eval-harness implementation.\",\"title\":\"2024/03 Update\",\"type\":\"grant-update\"}"}}]