Aashir Athar commited on
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1 Parent(s): 6c3f467

Remove live-demo references (deployment not currently active)

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  1. README.md +4 -5
README.md CHANGED
@@ -78,7 +78,6 @@ model-index:
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  [![Status](https://img.shields.io/badge/status-actively_training-brightgreen.svg)](https://huggingface.co/aashir-athar/mindeesai-base/tree/kaggle-weekly)
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  [![Cost](https://img.shields.io/badge/infra%20cost-%240%2Fmonth-success.svg)](#deployment--infrastructure)
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- [**Try the live demo**](https://mindeesai.0032ksa.workers.dev) ·
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  [**Source code**](https://github.com/aashir-athar/mindeesai) ·
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  [**Inference sidecar**](https://huggingface.co/spaces/aashir-athar/mindeesai-sidecar) ·
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  [**Branches**](#available-revisions-branches)
@@ -294,13 +293,13 @@ A live **8-dimensional mood tensor** evolves each turn:
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  | Calm | 0–1 | Steadies tone on tense turns |
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  | Confidence | 0–1 | Modulates hedging language |
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- Mood is exposed at [`/api/mood`](https://mindeesai.0032ksa.workers.dev/api/mood) on the live deployment. It is fed into every generation step as part of the persona signal and persisted in [Cloudflare R2](https://developers.cloudflare.com/r2/) between turns.
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  ---
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  ## Self-Improvement Loop
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- A 30-minute cron triggers `/api/cron/self-improve` on the live deployment, which runs the following pipeline:
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  1. **Reflect** — read the most recent chat turns from R2.
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  2. **Extract** — distill new instruction / response pairs into `data/distill-corpus.jsonl`.
@@ -336,7 +335,7 @@ Architecture detail at [`docs/CLOUDFLARE_HF_DEPLOY.md`](https://github.com/aashi
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  | Use case | Suitability | Notes |
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  |---|---|---|
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  | Educational / research use | **Yes** | Primary intended use. Architecture, training code, recipes all open. |
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- | Personal assistant prototype | **Yes** | The live demo runs a working version. |
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  | Studying small-model behavior | **Yes** | Comparable to SmolLM / TinyLlama for under-1B research. |
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  | Production user-facing applications | **No, at this size** | Use a larger model (Llama-3.3-70B, Claude, etc.) via the LLM router. Mindees Native is reserved for cases where 280M is genuinely sufficient. |
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  | Safety-critical decision making | **No** | This is a research-stage model with limited evaluation. |
@@ -410,7 +409,7 @@ MindeesAI builds on the open work of many upstream projects. Sincere thanks to:
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  - **Author:** Aashir Athar
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  - **GitHub:** [@aashir-athar](https://github.com/aashir-athar)
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  - **Repository:** [github.com/aashir-athar/mindeesai](https://github.com/aashir-athar/mindeesai)
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- - **Live demo:** [mindeesai.0032ksa.workers.dev](https://mindeesai.0032ksa.workers.dev)
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  - **Issues:** [GitHub Issues](https://github.com/aashir-athar/mindeesai/issues)
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  <div align="center">
 
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  [![Status](https://img.shields.io/badge/status-actively_training-brightgreen.svg)](https://huggingface.co/aashir-athar/mindeesai-base/tree/kaggle-weekly)
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  [![Cost](https://img.shields.io/badge/infra%20cost-%240%2Fmonth-success.svg)](#deployment--infrastructure)
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  [**Source code**](https://github.com/aashir-athar/mindeesai) ·
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  [**Inference sidecar**](https://huggingface.co/spaces/aashir-athar/mindeesai-sidecar) ·
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  [**Branches**](#available-revisions-branches)
 
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  | Calm | 0–1 | Steadies tone on tense turns |
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  | Confidence | 0–1 | Modulates hedging language |
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+ Mood is exposed at `/api/mood` on any active deployment. It is fed into every generation step as part of the persona signal and persisted in [Cloudflare R2](https://developers.cloudflare.com/r2/) between turns.
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  ---
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  ## Self-Improvement Loop
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+ A 30-minute cron triggers `/api/cron/self-improve` on any active deployment, which runs the following pipeline:
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  1. **Reflect** — read the most recent chat turns from R2.
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  2. **Extract** — distill new instruction / response pairs into `data/distill-corpus.jsonl`.
 
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  | Use case | Suitability | Notes |
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  |---|---|---|
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  | Educational / research use | **Yes** | Primary intended use. Architecture, training code, recipes all open. |
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+ | Personal assistant prototype | **Yes** | The full self-hostable stack ships in the source repo. |
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  | Studying small-model behavior | **Yes** | Comparable to SmolLM / TinyLlama for under-1B research. |
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  | Production user-facing applications | **No, at this size** | Use a larger model (Llama-3.3-70B, Claude, etc.) via the LLM router. Mindees Native is reserved for cases where 280M is genuinely sufficient. |
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  | Safety-critical decision making | **No** | This is a research-stage model with limited evaluation. |
 
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  - **Author:** Aashir Athar
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  - **GitHub:** [@aashir-athar](https://github.com/aashir-athar)
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  - **Repository:** [github.com/aashir-athar/mindeesai](https://github.com/aashir-athar/mindeesai)
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+ - **Inference sidecar:** [aashir-athar/mindeesai-sidecar](https://huggingface.co/spaces/aashir-athar/mindeesai-sidecar)
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  - **Issues:** [GitHub Issues](https://github.com/aashir-athar/mindeesai/issues)
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  <div align="center">