#149 - Building Smart Apps with LLMs

<p>In this episode, we discuss LLMs, how everything started, how they work, and how to use frameworks such as LangChain to develop intelligent applications with them.</p>
<p><strong>Guests</strong></p>
<p><a href="https://twitter.com/Tahabsn" target="_blank">Taha Bouhsine</a></p>
<p><a href="https://www.linkedin.com/in/sifeddine-nahhas/" target="_blank">Sifeddine Nahhas</a></p>
<p><a href="https://www.linkedin.com/in/nouamanetazi/" target="_blank">Nouamane Tazi</a></p>
<p><br></p>
<p><strong>Notes</strong></p>
<p><a href="https://geeksblabla.com/blablas/#0">0:00:00</a> - Introduction and welcoming</p>
<p><a href="https://geeksblabla.com/blablas/#333">0:05:33</a> - History of LLMs</p>
<p><a href="https://geeksblabla.com/blablas/#720">0:12:00</a> - The role of transformers in LLMs</p>
<p><a href="https://geeksblabla.com/blablas/#1260">0:21:00</a> - How LLMs differ from other AI methods</p>
<p><a href="https://geeksblabla.com/blablas/#1560">0:26:00</a> - Emergent Abilities of Large Language Models</p>
<p><a href="https://geeksblabla.com/blablas/#2520">0:42:00</a> - HaggingFace and the role or open-source in LLMs</p>
<p><a href="https://geeksblabla.com/blablas/#2820">0:47:00</a> - Open source LLMs.</p>
<p><a href="https://geeksblabla.com/blablas/#3840">1:04:00</a> - Using LLMs to build smart apps.</p>
<p><a href="https://geeksblabla.com/blablas/#5940">1:39:00</a> - Advices for software engineers with no AI background to start with LLMs.</p>
<p><a href="https://geeksblabla.com/blablas/#6360">1:46:00</a> - Conclusion and goodbye.</p>
<p><br></p>
<p><strong>Links</strong></p>
<ul>
<li><p><a href="http://jalammar.github.io/illustrated-transformer/" target="_blank">The Illustrated Transformer</a></p>
</li>
<li><p><a href="https://docs.google.com/presentation/d/1ZXFIhYczos679r70Yu8vV9uO6B1J0ztzeDxbnBxD1S0/mobilepresent?slide=id.g31364026ad_3_2" target="_blank">Transformers</a></p>
</li>
<li><p><a href="https://nlp.seas.harvard.edu/2018/04/03/attention.html" target="_blank">The Annotated Transformer</a></p>
</li>
<li><p><a href="https://www.youtube.com/watch?v=bZQun8Y4L2A" target="_blank">State of GPT</a></p>
</li>
<li><p><a href="https://www.youtube.com/watch?v=Mqg3aTGNxZ0" target="_blank">Sparks of AGI</a></p>
</li>
<li><p><a href="https://github.com/Vision-CAIR/MiniGPT-4" target="_blank">MiniGPT-4</a></p>
</li>
<li><p><a href="https://github.com/h2oai/h2o-llmstudio" target="_blank">H2O LLM Studio</a></p>
</li>
<li><p><a href="https://huggingface.co/" target="_blank">HuggingFace</a></p>
</li>
<li><p><a href="https://github.com/nomic-ai/gpt4all" target="_blank">GPT4All</a></p>
</li>
<li><p><a href="https://github.com/facebookresearch/llama/pull/73" target="_blank">llama</a></p>
</li>
<li><p><a href="https://python.langchain.com/en/latest/" target="_blank">LangChain</a></p>
</li>
<li><p><a href="https://www.obytes.com/blog/langchain-guide" target="_blank">Embracing AI-Powered Applications: A Developer’s Journey with LangChain</a></p>
</li>
<li><p><a href="https://github.com/openai/openai-cookbook" target="_blank">OpenAI cookbook</a></p>
</li>
<li><p><a href="https://www.jailbreakchat.com/" target="_blank">Jailbreak Chat</a></p>
</li>
<li><p><a href="https://twitter.com/MathsMaroc/status/1657805724766830594" target="_blank">MathsMaroc</a></p>
</li>
<li><p><a href="https://github.com/brexhq/prompt-engineering" target="_blank">Prompt Engineering</a></p>
</li>
<li><p><a href="https://www.assemblyai.com/blog/emergent-abilities-of-large-language-models/" target="_blank">Emergent Abilities of Large Language Models</a></p>
</li>
</ul>
<p><br></p>
<p><strong>Prepared and Presented by</strong></p>
<ul>
<li><a href="https://elazizi.com/" target="_blank">Youssouf EL Azizi</a></li>
</ul>
<p><br></p>