WEBVTT 00:00.410 --> 00:06.830 So how does it feel to be 30% of the way down the journey to being a proficient LLM engineer? 00:06.860 --> 00:12.020 Take a moment to congratulate yourself on a big accomplishment and a lot of progress. 00:12.110 --> 00:13.850 And hopefully you have that sense. 00:13.850 --> 00:19.310 You have that feeling that you are up skilling, that you can do so much more than you could just a 00:19.310 --> 00:22.160 matter of days ago, and it's going to keep being that way. 00:22.160 --> 00:26.120 We're going to keep building and building on the skills and knowledge that you're acquiring. 00:26.120 --> 00:28.790 So you're able to do more and more. 00:28.820 --> 00:32.780 But again, what you can already do, you can already confidently code with frontiers. 00:32.780 --> 00:36.410 You can build multimodal AI assistants using tools. 00:36.410 --> 00:40.670 And now and now you're familiar with hugging face pipelines. 00:40.670 --> 00:49.310 And you can use pipelines to run inference tasks across a wide variety of different common machine learning 00:49.340 --> 00:50.390 tasks. 00:50.840 --> 01:00.620 Next time, next time we get below into the lower level Transformers API as we start to work with Tokenizers, 01:00.650 --> 01:05.690 we've of course already spent some time talking about tokens, and we looked at Gpts tokenizer through 01:05.690 --> 01:06.800 the web user interface. 01:06.830 --> 01:13.190 Now we're going to actually use code to translate text to tokens and back again. 01:13.190 --> 01:16.550 And as part of that we're going to understand things like special tokens. 01:16.550 --> 01:22.550 I remember I had a sidebar, uh, ramble about some time ago now, but it's going to all come together. 01:22.550 --> 01:23.450 It's going to be worth it. 01:23.450 --> 01:26.060 That seed I planted is going to come together. 01:26.060 --> 01:31.070 When we look at what tokens look like for what gets passed into an LLM. 01:31.070 --> 01:37.610 And then also when we look at these things called chat templates, all of this is going to be extremely 01:37.610 --> 01:41.660 important foundation material, and I look forward to going through it with you next time.