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      <title>AI Wednesdays (29 May) by Gabriel Chua</title>
      <link>https://padlet.com/cyzgab/j4s134m03b4xogdn</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2024-05-29 00:01:45 UTC</pubDate>
      <lastBuildDate>2024-05-29 08:26:50 UTC</lastBuildDate>
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         <author>cyzgab</author>
         <link>https://padlet.com/cyzgab/j4s134m03b4xogdn/wish/3010749122</link>
         <description><![CDATA[<p>In the description, feel free to add:</p><p><br/></p><ol><li><p>What are you working on at the moment? </p></li><li><p>Things you might need help in</p></li><li><p>Your favourite AI/ML framework or package</p></li><li><p>Work email</p><p><br/></p><p>Feel free to comment on other posts, or find them in the space to have a chat! </p><p><br/></p><p>Please reach out to Gabriel or Teng Fone if you need help getting connected to someone.</p></li></ol>]]></description>
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         <pubDate>2024-05-29 00:01:45 UTC</pubDate>
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         <title>Gabriel (govtech)</title>
         <author>cyzgab</author>
         <link>https://padlet.com/cyzgab/j4s134m03b4xogdn/wish/3010749123</link>
         <description><![CDATA[<ol><li><p>ML model deployment, LLM prototypes</p></li><li><p>What to use long context models for (e.g. gemmini 1.5 flash)</p></li><li><p>openai python sdk! </p></li><li><p>gabriel_chua@tech.gov.sg</p></li></ol>]]></description>
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         <pubDate>2024-05-29 00:01:45 UTC</pubDate>
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         <title>TengFone (GovTech)</title>
         <author></author>
         <link>https://padlet.com/cyzgab/j4s134m03b4xogdn/wish/3011213000</link>
         <description><![CDATA[<ol><li><p>LLM Proxies, MLOps</p></li><li><p>ML operations use cases</p></li><li><p>LiteLLM at the moment</p></li><li><p>phang_teng_fone@tech.gov.sg</p></li></ol>]]></description>
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         <pubDate>2024-05-29 05:16:31 UTC</pubDate>
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         <title>JK (EDB)</title>
         <author></author>
         <link>https://padlet.com/cyzgab/j4s134m03b4xogdn/wish/3011257840</link>
         <description><![CDATA[<ol><li><p>﻿﻿﻿LLM based prototype with langchain, pgvector, streamlit(it’s terrible) looking to move to next.js, bedrock, gcp vertex ai</p></li><li><p>﻿﻿Evals. LLMStack in langchain anyone? Well defined project structure. </p></li><li><p>﻿﻿﻿still figuring things out. promptfoo </p></li><li><p>﻿﻿﻿leong_jern-kuan@edb.gov.sg</p></li></ol>]]></description>
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         <pubDate>2024-05-29 05:55:20 UTC</pubDate>
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         <title>Weijun (Govtech)</title>
         <author></author>
         <link>https://padlet.com/cyzgab/j4s134m03b4xogdn/wish/3011324290</link>
         <description><![CDATA[<p>1. Prototype mainly</p><p>2. Evals / deployment</p><p>3. Pgvector</p><p>4. chen_weijun@tech.gov.sg</p>]]></description>
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         <pubDate>2024-05-29 06:46:35 UTC</pubDate>
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         <title>Peck Yoke (IMDA)</title>
         <author></author>
         <link>https://padlet.com/cyzgab/j4s134m03b4xogdn/wish/3011338448</link>
         <description><![CDATA[<ol><li><p>LLM based AI tech research assistant </p></li><li><p>All good</p></li><li><p>Langchain, openai</p></li><li><p><a rel="noopener noreferrer nofollow" href="mailto:leong_peck_yoke@imda.gov.sg">leong_peck_yoke@imda.gov.sg</a></p></li></ol>]]></description>
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         <pubDate>2024-05-29 06:53:01 UTC</pubDate>
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         <title>Terence (CSIT)</title>
         <author></author>
         <link>https://padlet.com/cyzgab/j4s134m03b4xogdn/wish/3011453760</link>
         <description><![CDATA[<p>RAG applications for enterprise </p><p><br/></p><p>Know more about how others do RAG and handle multilingual data, chunking strategies etc.</p><p><br/></p>]]></description>
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         <pubDate>2024-05-29 08:26:50 UTC</pubDate>
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