[ WebToolTip com ] Generative AI and LLMOps - Building, Fine-Tuning, and Deploying LLMs

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[ WebToolTip com ] Generative AI and LLMOps - Building, Fine-Tuning, and Deploying LLMs
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Torrent File Content (73 files)

[ WebToolTip.com ] Generative AI and LLMOps - Building, Fine-Tuning, and Deploying LLMs
Get Bonus Downloads Here.url -

180 bytes

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01. Introduction/01. Evolution of LLMs.mp4 -

8.64 MB

01. Introduction/01. Evolution of LLMs.srt -

7.98 KB

01. Introduction/02. Prerequisites and course outline.mp4 -

2.15 MB

01. Introduction/02. Prerequisites and course outline.srt -

1.83 KB

02. 1. LLMs, Model Selection, and Application Planning/01. Big picture How do LLMs work.mp4 -

8.42 MB

02. 1. LLMs, Model Selection, and Application Planning/01. Big picture How do LLMs work.srt -

7.59 KB

02. 1. LLMs, Model Selection, and Application Planning/02. Proprietary models vs. open-source models.mp4 -

9.27 MB

02. 1. LLMs, Model Selection, and Application Planning/02. Proprietary models vs. open-source models.srt -

9.04 KB

02. 1. LLMs, Model Selection, and Application Planning/03. Choosing the right model for your use case.mp4 -

8.92 MB

02. 1. LLMs, Model Selection, and Application Planning/03. Choosing the right model for your use case.srt -

8.3 KB

02. 1. LLMs, Model Selection, and Application Planning/04. Lifecycle of an LLM application.mp4 -

5.1 MB

02. 1. LLMs, Model Selection, and Application Planning/04. Lifecycle of an LLM application.srt -

5.1 KB

03. 2. Architecture and Components of LLMs/01. Introducing the transformer architecture.mp4 -

11.13 MB

03. 2. Architecture and Components of LLMs/01. Introducing the transformer architecture.srt -

10.63 KB

03. 2. Architecture and Components of LLMs/02. How do models represent text.mp4 -

9.41 MB

03. 2. Architecture and Components of LLMs/02. How do models represent text.srt -

9.4 KB

03. 2. Architecture and Components of LLMs/03. Prompts and model generation parameters.mp4 -

9.72 MB

03. 2. Architecture and Components of LLMs/03. Prompts and model generation parameters.srt -

9.79 KB

04. 3. Building LLM Applications/01. Deploy and query a model hosted in Microsoft Foundry.mp4 -

13.19 MB

04. 3. Building LLM Applications/01. Deploy and query a model hosted in Microsoft Foundry.srt -

7.69 KB

04. 3. Building LLM Applications/02. Manage roles and conversation state with the Responses API.mp4 -

11.41 MB

04. 3. Building LLM Applications/02. Manage roles and conversation state with the Responses API.srt -

8.18 KB

04. 3. Building LLM Applications/03. Streaming responses, reasoning effort, and summary.mp4 -

6.97 MB

04. 3. Building LLM Applications/03. Streaming responses, reasoning effort, and summary.srt -

3.93 KB

05. 4. Prompt Design for LLM Applications/01. Adapt LLMs for your applications.mp4 -

1.96 MB

05. 4. Prompt Design for LLM Applications/01. Adapt LLMs for your applications.srt -

2.15 KB

05. 4. Prompt Design for LLM Applications/02. Prompt design for LLMs.mp4 -

7.43 MB

05. 4. Prompt Design for LLM Applications/02. Prompt design for LLMs.srt -

7.4 KB

05. 4. Prompt Design for LLM Applications/03. Anatomy and components of a prompt.mp4 -

6.28 MB

05. 4. Prompt Design for LLM Applications/03. Anatomy and components of a prompt.srt -

3.42 KB

05. 4. Prompt Design for LLM Applications/04. Prompt design techniques.mp4 -

15.07 MB

05. 4. Prompt Design for LLM Applications/04. Prompt design techniques.srt -

7.61 KB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/01. The need for model grounding.mp4 -

5.81 MB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/01. The need for model grounding.srt -

5.22 KB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/02. Similarity search with embeddings.mp4 -

10.03 MB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/02. Similarity search with embeddings.srt -

9.02 KB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/03. Retrieval-augmented generation.mp4 -

5.39 MB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/03. Retrieval-augmented generation.srt -

4.12 KB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/04. Implement a RAG solution.mp4 -

17.24 MB

06. 5. Grounding LLMs with Retrieval-Augmented Generation (RAG)/04. Implement a RAG solution.srt -

9.66 KB

07. 6. Fine-Tuning LLMs/01. Fine-tune models.mp4 -

6.38 MB

07. 6. Fine-Tuning LLMs/01. Fine-tune models.srt -

5.63 KB

07. 6. Fine-Tuning LLMs/02. Compare fine-tuning with RAG and prompt design.mp4 -

4.22 MB

07. 6. Fine-Tuning LLMs/02. Compare fine-tuning with RAG and prompt design.srt -

3.17 KB

07. 6. Fine-Tuning LLMs/03. Types of fine-tuning.mp4 -

9.88 MB

07. 6. Fine-Tuning LLMs/03. Types of fine-tuning.srt -

9.27 KB

07. 6. Fine-Tuning LLMs/04. Create and configure a fine-tuning job.mp4 -

13.91 MB

07. 6. Fine-Tuning LLMs/04. Create and configure a fine-tuning job.srt -

6.33 KB

07. 6. Fine-Tuning LLMs/05. Deploy and test a fine-tuned model.mp4 -

9.91 MB

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