# forck.live — 21–27 November 2022

> 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 2022-W47, 21–27 November 2022, 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/2022-W47
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### Hugging Face — Diffusion Models Live Event

- Company: Hugging Face (huggingface.co)
- Announced: 2022-11-25
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/diffusion-models-event
- Record: https://forck.live/items/2129-diffusion-models-live-event
- Subject: Platform

Hugging Face announces a free Diffusion Models Class releasing on November 28, 2022, and a live community event on November 30, 2022, featuring talks from researchers at Stability AI, Meta, Runway, Lambda Labs, and Hugging Face.

### LG AI Research — [NeurIPS 2022] UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-11-23
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://www.lgresearch.ai/blog/view?seq=276
- Record: https://forck.live/items/4919-neurips-2022-uniclip-unified-framework-for-contrastive-language-image-pre
- Subject: EXAONE

LG AI Research introduces UniCLIP, a unified framework that integrates contrastive learning from different domains into a single embedding space, addressing image-text misalignment due to augmentation with an augmentation-aware projection head, and proposing MP-NCE loss and domain-dependent similarity scores.

### Hugging Face — Director of Machine Learning Insights [Part 4]

- Company: Hugging Face (huggingface.co)
- Announced: 2022-11-23
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/ml-director-insights-4
- Record: https://forck.live/items/2130-director-of-machine-learning-insights-part-4
- Subject: Platform

This is the fourth installment of a blog series featuring interviews with Directors of Machine Learning from various industries, discussing the impact, challenges, and future of ML in their fields.

### Replicate — Train and deploy a DreamBooth model on Replicate

- Company: Replicate (replicate.com)
- Announced: 2022-11-21
- Category: api-release
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://replicate.com/blog/dreambooth-api
- Record: https://forck.live/items/2577-train-and-deploy-a-dreambooth-model-on-replicate
- Subject: Platform

Replicate releases an API for training and deploying DreamBooth models, enabling users to train Stable Diffusion on custom objects or styles with as few as three images in about 20 minutes at a cost of roughly $2.50.

### Hugging Face — An overview of inference solutions on Hugging Face

- Company: Hugging Face (huggingface.co)
- Announced: 2022-11-21
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/inference-update
- Record: https://forck.live/items/2132-an-overview-of-inference-solutions-on-hugging-face
- Subject: Platform

This article reviews the inference options available on Hugging Face, including the free Inference Widget, free Inference API, production Inference Endpoints, and Spaces.

### Hugging Face — Accelerating Document AI

- Company: Hugging Face (huggingface.co)
- Announced: 2022-11-21
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/document-ai
- Record: https://forck.live/items/2131-accelerating-document-ai
- Subject: Platform

Document AI use cases and open-source models for building custom solutions.
