# forck.live — 15–21 November 2021

> 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 2021-W46, 15–21 November 2021, 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/2021-W46
- The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md
- Catalogue: https://forck.live/llms.txt

## Announcements

### Hugging Face — Accelerating PyTorch distributed fine-tuning with Intel technologies

- Company: Hugging Face (huggingface.co)
- Announced: 2021-11-19
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/accelerating-pytorch
- Record: https://forck.live/items/2240-accelerating-pytorch-distributed-fine-tuning-with-intel-technologies
- Subject: Platform

To accelerate PyTorch distributed fine-tuning using Intel Xeon Scalable CPU servers with Ice Lake architecture and Intel performance libraries, including a step-by-step guide for setting up a cluster on AWS.

### OpenAI — OpenAI’s API now available with no waitlist

- Company: OpenAI (openai.com)
- Announced: 2021-11-18T08:00:00+00:00
- Category: availability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://openai.com/index/api-no-waitlist
- Record: https://forck.live/items/924-openai-s-api-now-available-with-no-waitlist
- Subject: GPT / ChatGPT / API

OpenAI announces that its API is now available to everyone without a waitlist, citing safety progress as the reason for the expanded access.

### LG AI Research — [ICLR 2021] Part 1: Neural Combinatorial Optimization in ICML 2021

- Company: LG AI Research (lgresearch.ai)
- Announced: 2021-11-15
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=157
- Record: https://forck.live/items/4974-iclr-2021-part-1-neural-combinatorial-optimization-in-icml-2021
- Subject: EXAONE

Research papers on neural combinatorial optimization presented at ICML 2021, focusing on the knapsack problem.

### Hugging Face — Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers

- Company: Hugging Face (huggingface.co)
- Announced: 2021-11-15
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/fine-tune-xlsr-wav2vec2
- Record: https://forck.live/items/2241-fine-tune-xlsr-wav2vec2-for-low-resource-asr-with-transformers
- Subject: Platform

To fine-tune XLS-R, a multilingual speech representation model, for automatic speech recognition using the Hugging Face Transformers library, with a focus on low-resource languages.