# forck.live — 8–14 February 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-W06, 8–14 February 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-W06 - The current issue, and the catalogue of the other weeks: https://forck.live/briefing.md - Catalogue: https://forck.live/llms.txt ## Announcements ### Hugging Face — Retrieval Augmented Generation with Huggingface Transformers and Ray - Company: Hugging Face (huggingface.co) - Announced: 2021-02-10 - Category: developer-tool-release - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/ray-rag - Record: https://forck.live/items/2268-retrieval-augmented-generation-with-huggingface-transformers-and-ray - Subject: Platform Hugging Face announces the integration of Ray into the RAG model's document retrieval mechanism, achieving a 2x speedup per retrieval call and improved scalability for distributed fine-tuning. ### Replit — Hosting Apps with Always On - Company: Replit (replit.com) - Announced: 2021-02-09T05:00:00+00:00 - Category: capability-change - Coverage: not counted - Announcement: no - Group: routine - Source: https://replit.com/blog/alwayson - Record: https://forck.live/items/18092-hosting-apps-with-always-on - Subject: Replit Agent Replit announced that Always On repls are now available to all Hacker plan users, allowing up to 5 repls to stay running continuously. Free plan users can access Always On using Cycles. The feature keeps repls from sleeping when the browser tab is closed, enabling persistent apps like Discord bots and cron jobs. ### LG AI Research — SISE (Semantic Input Sampling for Explanation) - a novel visual explainable AI - Company: LG AI Research (lgresearch.ai) - Announced: 2021-02-09 - Category: research-paper - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=67 - Record: https://forck.live/items/5001-sise-semantic-input-sampling-for-explanation-a-novel-visual-explainable-ai - Subject: EXAONE LG AI Research introduces SISE (Semantic Input Sampling for Explanation), a novel visual explainable AI method that improves faithfulness and reduces computation time compared to existing XAI methods. The method is described in their AAAI-21 paper. ### Hugging Face — Hugging Face on PyTorch / XLA TPUs - Company: Hugging Face (huggingface.co) - Announced: 2021-02-09 - Category: infrastructure-release - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://huggingface.co/blog/pytorch-xla - Record: https://forck.live/items/2269-hugging-face-on-pytorch-xla-tpus - Subject: Platform Hugging Face announces integration with PyTorch/XLA for Cloud TPU training, enabling faster and cheaper training using the existing Hugging Face Trainer interface. ### LG AI Research — Online Class-Incremental Continual Learning with Adversarial Shapley Value - Company: LG AI Research (lgresearch.ai) - Announced: 2021-02-08 - Category: research-paper - Coverage: not counted - Announcement: yes - Group: announcements - Source: https://www.lgresearch.ai/blog/view?seq=66 - Record: https://forck.live/items/5002-online-class-incremental-continual-learning-with-adversarial-shapley-value - Subject: EXAONE LG AI Research presented a paper at AAAI-21 introducing the Adversarial Shapley Value Experience Replay (ASER) algorithm for online class-incremental continual learning, which uses K-Nearest Neighbor Shapley value for data selection to mitigate catastrophic forgetting.