Wes Bos & Scott Tolinski - Full Stack JavaScript Web Developers

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706: AI and ML - The Pieces Explained

Syntax - Tasty Web Development Treats

Full Stack Developers Wes Bos and Scott Tolinski dive deep into web development topics, explaining how they work and talking about their own experiences. They cover from JavaScript frameworks like React, to the latest advancements in CSS to simplifying web tooling.

In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and highlight available services. <h3 class="code-line" data-line-start="2" data-line-end="3"><a id= "Show_Notes_2"></a>Show Notes</h3> <ul> <li class="has-line-data" data-line-start="4" data-line-end="5"> <a href="#t=00:25:20">00:25:20</a> Welcome</li> <li class="has-line-data" data-line-start="5" data-line-end="6"> <a href="#t=00:55:00">00:55:00</a> Syntax Brought to you by Sentry</li> <li class="has-line-data" data-line-start="6" data-line-end="7"> <a href="#t=01:17:00">01:17:00</a> Understanding how the pieces fit together</li> <li class="has-line-data" data-line-start="7" data-line-end="8"> <a href="#t=02:31:18">02:31:18</a> Models or LLM?</li> <li class="has-line-data" data-line-start="8" data-line-end="9"> <a href="#t=04:43:22">04:43:22</a> What about Hugging Face?</li> <li class="has-line-data" data-line-start="9" data-line-end="10"> <a href="#t=08:05:18">08:05:18</a> What’s Llama?</li> <li class="has-line-data" data-line-start="10" data-line-end="11"> <a href="#t=08:51:15">08:51:15</a> What are spaces?</li> <li class="has-line-data" data-line-start="11" data-line-end="12"> <a href="#t=09:29:06">09:29:06</a> Services available to you</li> <li class="has-line-data" data-line-start="12" data-line-end="13"> <a href="#t=12:26:16">12:26:16</a> What are tokens in AI?</li> <li class="has-line-data" data-line-start="13" data-line-end="14"> <a href="#t=17:38:18">17:38:18</a> What is temperature with AI?</li> <li class="has-line-data" data-line-start="14" data-line-end="15"> <a href="#t=20:33:08">20:33:08</a> Using top_p</li> <li class="has-line-data" data-line-start="15" data-line-end="16"> <a href="#t=21:06:00">21:06:00</a> Using fine-tuning to extend existing models</li> <li class="has-line-data" data-line-start="16" data-line-end="17"> <a href="#t=22:11:19">22:11:19</a> Prompts are what you send to the model</li> <li class="has-line-data" data-line-start="17" data-line-end="18"> <a href="#t=23:17:00">23:17:00</a> Streaming</li> <li class="has-line-data" data-line-start="18" data-line-end="19"> <a href="#t=24:48:17">24:48:17</a> Embeddings</li> <li class="has-line-data" data-line-start="19" data-line-end="20"> <a href="#t=27:34:17">27:34:17</a> OpenAI maintains Evals</li> <li class="has-line-data" data-line-start="20" data-line-end="22"> <a href="#t=28:40:14">28:40:14</a> Different libraries for working with AI</li> </ul> <ul> <li class="has-line-data" data-line-start="22" data-line-end="23"> <a href="https://huggingface.co/">Hugging Face</a></li> <li class="has-line-data" data-line-start="23" data-line-end="24"> <a href= "https://syntax.fm/show/679/creator-of-swift-tesla-autopilot-and-tensorflow-new-ai-language-mojo-with-chris-lattner"> Creator of Swift, Tesla Autopilot & Tensorflow. New AI language Mojo with Chris Lattner</a></li> <li class="has-line-data" data-line-start="24" data-line-end="25"> <a href= "https://research.facebook.com/publications/llama-open-and-efficient-foundation-language-models/"> LLaMA</a></li> <li class="has-line-data" data-line-start="25" data-line-end="26"> <a href="https://huggingface.co/spaces">Spaces - Hugging Face</a></li> <li class="has-line-data" data-line-start="26" data-line-end="27"> <a href="https://openai.com/">OpenAI</a></li> <li class="has-line-data" data-line-start="27" data-line-end="28"> <a href= "https://www.anthropic.com/index/introducing-claude">Anthropic \ Introducing Claude</a></li> <li class="has-line-data" data-line-start="28" data-line-end="29"> <a href="https://replicate.com/">Replicate</a></li> <li class="has-line-data" data-line-start="29" data-line-end="30"> <a href="https://app.fireworks.ai/">Fireworks Console</a></li> <li class="has-line-data" data-line-start="30" data-line-end="31"> <a href="https://gpt-tokenizer.dev/">gpt-tokenizer playground</a></li> <li class="has-line-data" data-line-start="31" data-line-end="32"> <a href="https://github.com/openai/tiktoken">openai/tiktoken: tiktoken is a fast BPE tokeniser for use with OpenAI’s models.</a></li> <li class="has-line-data" data-line-start="32" data-line-end="33"> <a href= "https://syntax.fm/show/625/supper-club-openai-future-of-programming-llms-and-math-with-andrey-mishchenko"> Supper Club × OpenAI, Future of programming, LLMs, and Math with Andrey Mishchenko</a></li> <li class="has-line-data" data-line-start="33" data-line-end="34"> <a href="https://www.raycast.com/pro">Raycast Pro</a></li> <li class="has-line-data" data-line-start="34" data-line-end="35"> <a href= "https://docs.aws.amazon.com/managedservices/latest/userguide/sagemaker.html"> Amazon SageMaker (AMS SSPS)</a></li> <li class="has-line-data" data-line-start="35" data-line-end="36"> <a href="https://github.com/openai/evals">openai/evals</a></li> <li class="has-line-data" data-line-start="36" data-line-end="37"> <a href="https://www.langchain.com/">LangChain</a></li> <li class="has-line-data" data-line-start="37" data-line-end="38"> <a href="https://pytorch.org/">PyTorch</a></li> <li class="has-line-data" data-line-start="38" data-line-end="39"> <a href="https://www.tensorflow.org/">TensorFlow</a></li> <li class="has-line-data" data-line-start="39" data-line-end="41"> <a href="https://www.npmjs.com/package/ai">ai - npm</a></li> </ul> <h3 class="code-line" data-line-start="41" data-line-end="42"> <a id="Hit_us_up_on_Socials_41"></a>Hit us up on Socials!</h3> Syntax: <a href="https://twitter.com/syntaxfm">X</a> <a href= "https://www.instagram.com/syntax_fm/">Instagram</a> <a href= "https://www.tiktok.com/@syntaxfm">Tiktok</a> <a href= "https://www.linkedin.com/company/96077407/admin/feed/posts/">LinkedIn</a> <a href="https://www.threads.net/@syntax_fm">Threads</a> Wes: <a href="https://twitter.com/wesbos">X</a> <a href= "https://www.instagram.com/wesbos/">Instagram</a> <a href= "https://www.tiktok.com/@wesbos">Tiktok</a> <a href= "https://www.linkedin.com/in/wesbos/">LinkedIn</a> <a href= "https://www.threads.net/@wesbos">Threads</a> Scott: <a href="https://twitter.com/stolinski">X</a> <a href= "https://www.instagram.com/stolinski/">Instagram</a> <a href= "https://www.tiktok.com/@stolinski">Tiktok</a> <a href= "https://www.linkedin.com/in/stolinski/">LinkedIn</a> <a href= "https://www.threads.net/@stolinski">Threads</a>

In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and highlight available services.
 Show Notes  00:25:20 Welcome
 00:55:00 Syntax Brought to you by Sentry
 01:17:00 Understanding how the pieces fit together
 02:31:18 Models or LLM?
 04:43:22 What about Hugging Face?
 08:05:18 What’s Llama?
 08:51:15 What are spaces?
 09:29:06 Services available to you
 12:26:16 What are tokens in AI?
 17:38:18 What is temperature with AI?
 20:33:08 Using top_p
 21:06:00 Using fine-tuning to extend existing models
 22:11:19 Prompts are what you send to the model
 23:17:00 Streaming
 24:48:17 Embeddings
 27:34:17 OpenAI maintains Evals
 28:40:14 Different libraries for working with AI
  Hugging Face

  Creator of Swift, Tesla Autopilot & Tensorflow. New AI language Mojo with Chris Lattner

  LLaMA

 Spaces - Hugging Face

 OpenAI

 Anthropic \ Introducing Claude

 Replicate

 Fireworks Console

 gpt-tokenizer playground

 openai/tiktoken: tiktoken is a fast BPE tokeniser for use with OpenAI’s models.

  Supper Club × OpenAI, Future of programming, LLMs, and Math with Andrey Mishchenko

 Raycast Pro

  Amazon SageMaker (AMS SSPS)

 openai/evals

 LangChain

 PyTorch

 TensorFlow

 ai - npm

  Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads
 Wes: X Instagram Tiktok LinkedIn Threads
 Scott: X Instagram Tiktok LinkedIn Threads

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706: AI and ML - The Pieces Explained

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