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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
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66.43Кб |
| 1 |
131.28Кб |
| 1. Benefits of open-source LLM models.mp4 |
26.47Мб |
| 1. Introduction.mp4 |
77.87Мб |
| 1. Introduction to Generative AI and its applications ChatGPT, DALLE.mp4 |
75.35Мб |
| 1. Introduction to LangChain.mp4 |
22.27Мб |
| 1. Introduction to LangChain agents.mp4 |
18.40Мб |
| 1. Introduction to LangChain indexes.mp4 |
18.67Мб |
| 1. Introduction to Language Models.mp4 |
27.50Мб |
| 1. Introduction to vector databases and importance for LLMs.mp4 |
14.61Мб |
| 1. Programming WorkFlows in LangChain.mp4 |
30.62Мб |
| 1. Tools for working with LLMs and NLP.mp4 |
13.72Мб |
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152.10Кб |
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290.79Кб |
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311.66Кб |
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256.61Кб |
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252.62Кб |
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393.03Кб |
| 17 |
268б |
| 18 |
463.48Кб |
| 19 |
323.94Кб |
| 2 |
154.53Кб |
| 2. Characteristics of vector databases.mp4 |
15.81Мб |
| 2. Different LangChain model types and requirements.mp4 |
36.70Мб |
| 2. Different open-source LLM models and comparative analysis.mp4 |
48.42Мб |
| 2. Discriminative vs. generative models.mp4 |
13.03Мб |
| 2. Hands-on Lab Programming the Wikipedia, Google, and Google agent.mp4 |
31.84Мб |
| 2. Linking multiple LLMs with LangChain.mp4 |
9.70Мб |
| 2. Open AI API.mp4 |
50.15Мб |
| 2. Practical Lab ChatGPT training with complete inforPDF.mp4 |
79.93Мб |
| 2. What are Language Models.mp4 |
23.26Мб |
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35.02Кб |
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249.86Кб |
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232.76Кб |
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43.96Кб |
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330.68Кб |
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508.38Кб |
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183.15Кб |
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341.63Кб |
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102.77Кб |
| 29 |
209.47Кб |
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195.23Кб |
| 3. Fundamentals of the Llama model.mp4 |
26.68Мб |
| 3. GANs Generative Adversarial Networks.mp4 |
14.42Мб |
| 3. Hugging Face Fundamentals.mp4 |
44.32Мб |
| 3. LLM input management with LangChain's Prompts Module.mp4 |
18.82Мб |
| 3. Practical Lab Chaining of Prompts with LangChain Chains.mp4 |
42.85Мб |
| 3. Practical Lab Integration of agents in ChatGPT.mp4 |
45.56Мб |
| 3. Types of Language Models.mp4 |
27.05Мб |
| 3. Vector Databases, Plugins and Vector Libraries.mp4 |
20.68Мб |
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77.38Кб |
| 31 |
190.38Кб |
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395.07Кб |
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77.59Кб |
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287.58Кб |
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486.30Кб |
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118.32Кб |
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398.85Кб |
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445.47Кб |
| 39 |
324.23Кб |
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225.70Кб |
| 4. Alpaca model fundamentals.mp4 |
52.28Мб |
| 4. Combination of LLM with other components through chains.mp4 |
16.80Мб |
| 4. LangChain Fundamentals.mp4 |
33.75Мб |
| 4. Models based on Transformers.mp4 |
15.92Мб |
| 4. Practical Lab (II) Chaining Prompts with LangCha Chains.mp4 |
67.31Мб |
| 4. Vector search strategies and similarity metrics.mp4 |
11.11Мб |
| 5 |
360.28Кб |
| 5. Fundamentals of the Vicuña model.mp4 |
43.64Мб |
| 5. Open source LLM models.mp4 |
39.22Мб |
| 5. Providing access to external data through LangChain Indexes.mp4 |
12.88Мб |
| 5. Variational Auto Encoders and latent space.mp4 |
20.96Мб |
| 6 |
78.34Кб |
| 6. Challenges of Generative AI.mp4 |
19.50Мб |
| 6. Giving the ability to memorize ChatGPT through Memor LangChain.mp4 |
11.06Мб |
| 6. Koala model fundamentals.mp4 |
31.25Мб |
| 7 |
451.04Кб |
| 7. Providing access to tools through LangChain's Agents module.mp4 |
10.18Мб |
| 8 |
180.48Кб |
| 9 |
364.02Кб |
| TutsNode.net.txt |
63б |