# forck.live — 3–9 July 2023

> AI lab announcements, news reports and podcasts.

forck.live follows what companies announce about their own products. Press may
corroborate an official story; it never leads and never appears as an item of its
own. A missing date stays missing. A title is the publisher's words — where a
company does not publish in English, an English rendering is listed separately
as `Title in English` and named as this site's translation, never as theirs.

This file is one issue of the weekly archive: every confirmed
first-party announcement of ISO week 2023-W27, 3–9 July 2023, newest
first. The window never moves, so this URL always names the same seven days —
but a post published inside them and detected later is added when it arrives,
so a closed week can still gain entries.

Every entry is one first-party announcement, and carries the same eight fields
in this order before any others:

    Company · Announced · Category · Coverage · Announcement · Group · Source · Record

`Source` is the company's own page the announcement was traced to and `Record`
is this site's page for it. Both are safe to cite.

`Coverage` is a number of outlets, or `not counted` — which means this record
reached no count of its own, never that nobody wrote about it.

`Category` is this tracker's own analysis, and is authoritative wherever it is
stated. `not stated` means either that nothing has analysed the post yet or
that the analysis placed it outside this taxonomy; neither is a verdict about
the announcement.

`Announcement` is whether the post is news of something the company did, rather
than a how-to, a customer story, a changelog listing or a staffing note.

`Group` is which of this record's groups the entry falls in, carried on the
entry itself so it holds where the groups are headings and where they are not.
One of: `models`, `covered`, `announcements`, `routine`.

Anything after `Record` is held detail that only some announcements carry.

- This week's page: https://forck.live/week/2023-W27
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### OpenAI — Accurately analyzing large scale qualitative data

- Company: OpenAI (openai.com)
- Announced: 2023-07-07T07:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/viable
- Record: https://forck.live/items/852-accurately-analyzing-large-scale-qualitative-data
- Subject: GPT / ChatGPT / API

Viable uses GPT-4 to analyze qualitative data at a revolutionary scale with unparalleled accuracy.

### Sakana AI — About Sakana AI

- Company: Sakana AI (sakana.ai)
- Announced: 2023-07-06T15:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://sakana.ai/company-info-old
- Record: https://forck.live/items/4733-about-sakana-ai
- Title in English (translated by forck.live from ja): About Sakana AI
- Subject: Sakana models

Company overview page for Sakana AI, describing itself as a Tokyo-based R&D company founded in 2023 that works on AI research and development for Japan.

### Hugging Face — Making ML-powered web games with Transformers.js

- Company: Hugging Face (huggingface.co)
- Announced: 2023-07-05
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/ml-web-games
- Record: https://forck.live/items/2029-making-ml-powered-web-games-with-transformers-js
- Subject: Platform

Creating a real-time ML-powered web game called Doodle Dash using Transformers.js, which runs entirely in the browser. It covers training a finetuned MobileViT model on the Quick, Draw! dataset, converting it to ONNX, and integrating it into a React app with Web Workers.

### Hugging Face — Deploy LLMs with Hugging Face Inference Endpoints

- Company: Hugging Face (huggingface.co)
- Announced: 2023-07-04
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/inference-endpoints-llm
- Record: https://forck.live/items/2030-deploy-llms-with-hugging-face-inference-endpoints
- Subject: Platform

To deploy open-source LLMs (e.g., Falcon 40B) using Hugging Face Inference Endpoints, including steps for deployment, testing, and streaming responses.

### Hugging Face — Making a web app generator with open ML models

- Company: Hugging Face (huggingface.co)
- Announced: 2023-07-03
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/text-to-webapp
- Record: https://forck.live/items/2031-making-a-web-app-generator-with-open-ml-models
- Subject: Platform

This is a tutorial on building a web app generator using open ML models, specifically WizardCoder-15B, with Node.js and Hugging Face Inference Endpoints.