W3C Developers<p>Last April, <span class="h-card" translate="no"><a href="https://schelling.pt/@domenic" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>domenic</span></a></span> reported that 7 AI LLM-based APIs are being developed in the <span class="h-card" translate="no"><a href="https://w3c.social/@w3c" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>w3c</span></a></span> web machine learning <a href="https://w3c.social/tags/CommunityGroup" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CommunityGroup</span></a>. <br>▶️ <a href="https://webmachinelearning.github.io/incubations/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">webmachinelearning.github.io/i</span><span class="invisible">ncubations/</span></a></p><p>These APIs raise new <a href="https://w3c.social/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>privacy</span></a> and <a href="https://w3c.social/tags/security" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>security</span></a> concerns and must keep pace with rapid <a href="https://w3c.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> advances. As part of the <a href="https://w3c.social/tags/Chrome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chrome</span></a> team, he suggests prioritizing high-level APIs, improving testing methods, and engaging ML experts in web standards to broaden AI accessibility for <a href="https://w3c.social/tags/developers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>developers</span></a>.</p><p>🎬 Watch 'LLM-based APIs in browsers': <a href="https://youtu.be/N_4TUhsApHI" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/N_4TUhsApHI</span><span class="invisible"></span></a></p>