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Checked by:
Category:
Language:
English
Total Size:
1.7 GB
Info Hash:
E4DF3928410E279C81A628863EF449586D3C7739
Added By:
Added:
May 1, 2025, 12:20 a.m.
Stats:
|
(Last updated: May 18, 2025, 5:30 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 183 bytes |
| Bonus Resources.txt | 70 bytes |
| 1. Intro.html | 2.0 MB |
| 10. Challenges and Limitations.html | 1.5 MB |
| 11. What is fine-tune？.html | 1.5 MB |
| 12. How to fine-tune？.html | 1.5 MB |
| 2. LLMs.html | 1.7 MB |
| 3. Hallucination.html | 2.1 MB |
| 4. Token.html | 2.9 MB |
| 5. Context window.html | 1.9 MB |
| 6. What is open-source LLMs.html | 1.7 MB |
| 7. 5 Best Open Source LLMs (2024).html | 1.5 MB |
| 8. Training.html | 1.7 MB |
| 9. Applications.html | 1.5 MB |
| 1. What is prompt？.html | 2.1 MB |
| 10. Format.html | 2.0 MB |
| 11. Tone.html | 1.7 MB |
| 12. Jailbreaking.html | 1.8 MB |
| 13. Direct prompt injection.html | 2.4 MB |
| 14. Indirect prompt injection.html | 1.5 MB |
| 15. Stored prompt injection.html | 1.6 MB |
| 16. Prompt leaking.html | 2.1 MB |
| 17. Trick #1 - Asking indirectly.html | 1.8 MB |
| 18. Trick #2 - Roleplay.html | 1.8 MB |
| 19. Trick #3 - Payload splitting.html | 1.8 MB |
| 2. What is prompt engineering？.html | 2.4 MB |
| 2.1 Indirect-prompt-injection.mp4 | 2.8 MB |
| 20. Trick #4 - DAN (Do Anything Now).html | 2.1 MB |
| 21. Trick #5 - AbuseGPT.html | 1.9 MB |
| 3. Why is prompt engineering important？.html | 2.3 MB |
| 4. Tokenizer.html | 1.9 MB |
| 5. Intro.html | 1.5 MB |
| 6. Objective.html | 1.6 MB |
| 7. Background.html | 2.0 MB |
| 8. Examples.html | 1.7 MB |
| 9. Persona.html | 1.7 MB |
| 3.1.-Quick-intro.mp4 | 18.4 MB |
| 3.10.-Ollama-with-custom-models.mp4 | 27.3 MB |
| 3.2.-About-local-LLM.mp4 | 15.2 MB |
| 3.3.-Installation.mp4 | 14.2 MB |
| 3.4.-Run-Llava.mp4 | 13.2 MB |
| 3.5.-APIs-with-Postman.mp4 | 39.1 MB |
| 3.6.-With-OpenAI.mp4 | 9.3 MB |
| 3.7.-With-Ollama.mp4 | 5.5 MB |
| 3.8.-With-Langchain.mp4 | 5.1 MB |
| 3.9.-Run-Ollama-with-Chat-UI.mp4 | 28.5 MB |
| M03. Ollama.txt | 166 bytes |
| Modelfile | 227 bytes |
| app.py | 386 bytes |
| app2.py | 324 bytes |
| app3.py | 127 bytes |
| chainlit.md | 46 bytes |
| chatui.py | 666 bytes |
| 4.1.-What-is-Hugging-Face..mp4 | 5.0 MB |
| 4.2.-Hugging-Face-ecosystem.mp4 | 15.6 MB |
| 4.3.-Working-with-Transformers-libirary.mp4 | 31.4 MB |
| 4.4.-Generate-text.mp4 | 28.6 MB |
| 4.5.-Transcribing-audio.mp4 | 5.8 MB |
| 4.6.-Objects-detection.mp4 | 24.7 MB |
| 4.7.-What-is-Spaces..mp4 | 12.3 MB |
| 4.8.-Creating-Gradio-app.mp4 | 11.0 MB |
| 4.9.-Creating-Spaces.mp4 | 28.0 MB |
| M04. Hugging Face.txt | 187 bytes |
| app.py | 399 bytes |
| audio.wav | 429.4 KB |
| detection.py | 1.2 KB |
| README.md | 237 bytes |
| app.py | 368 bytes |
| COMMIT_EDITMSG | 15 bytes |
| FETCH_HEAD | 121 bytes |
| HEAD | 21 bytes |
| config | 379 bytes |
| description | 73 bytes |
| applypatch-msg.sample | 478 bytes |
| commit-msg.sample | 896 bytes |
| fsmonitor-watchman.sample | 4.5 KB |
| post-update.sample | 189 bytes |
| pre-applypatch.sample | 424 bytes |
| pre-commit.sample | 1.6 KB |
| pre-merge-commit.sample | 416 bytes |
| pre-push.sample | 1.3 KB |
| pre-rebase.sample | 4.8 KB |
| pre-receive.sample | 544 bytes |
| prepare-commit-msg.sample | 1.5 KB |
| push-to-checkout.sample | 2.7 KB |
| update.sample | 3.6 KB |
| index | 369 bytes |
| exclude | 240 bytes |
| HEAD | 367 bytes |
| main | 367 bytes |
| HEAD | 209 bytes |
| main | 150 bytes |
| 54c425fa70c1f8d1a953f616a0886f66aec188 | 58 bytes |
| 8109a8bc896cbd7d3b4f64197f58a0ed12ec2c | 814 bytes |
| 6ccaedefe815def28726ef42a31d91d3112d5f | 164 bytes |
| 5f6829d7aed3f2f69d80555c1c0e9aee925ba9 | 198 bytes |
| abb4785903b45ede6e910a47d2c2188b539638 | 92 bytes |
| 344aac8c09253b3b630fb776ae94478aa0275b | 224 bytes |
| 324cd8db3f8338dc45ee58fb89b77162de0e20 | 165 bytes |
| cc6635f827ebfba0c0c2c8e4d9fc8b59bd5281 | 242 bytes |
| packed-refs | 112 bytes |
| main | 41 bytes |
| HEAD | 30 bytes |
| main | 41 bytes |
| gitattributes | 1.5 KB |
| requirements.txt | 48 bytes |
| savanna.jpg | 39.9 KB |
| text-generator.py | 368 bytes |
| transcribe.py | 472 bytes |
| 5.1.-What-is-Gemini..mp4 | 10.0 MB |
| 5.2.-Getting-API-Key.mp4 | 5.4 MB |
| 5.3.-Initialize-Python-project.mp4 | 2.3 MB |
| 5.4.-Generate-text.mp4 | 7.0 MB |
| 5.5.-Interact-with-image.mp4 | 15.1 MB |
| 5.6.-Chatbot.mp4 | 12.9 MB |
| 5.7.-Text-chatbot.mp4 | 18.7 MB |
| 5.8.-Photo-chatbot.mp4 | 31.4 MB |
| 5.9.-Audio-chatbot.mp4 | 12.2 MB |
| M05. Gemini Pro.txt | 148 bytes |
| app.py | 292 bytes |
| app_chat.py | 430 bytes |
| app_image.py | 331 bytes |
| fantasy.jpg | 55.2 KB |
| ingredients.jpg | 147.8 KB |
| app.py | 469 bytes |
| app_audio.py | 1.2 KB |
| app_image.py | 1.2 KB |
| chainlit.md | 761 bytes |
| config.toml | 3.2 KB |
| en-US.json | 9.7 KB |
| 6.1.-Embeddings.mp4 | 7.1 MB |
| 6.10.-Removing-data.mp4 | 2.8 MB |
| 6.11.-Collection-management.mp4 | 6.6 MB |
| 6.12.-Prepare-resumes.mp4 | 12.9 MB |
| 6.13.-Code.mp4 | 26.6 MB |
| 6.2.-Vector-database.mp4 | 9.7 MB |
| 6.3 Token limit problem.pdf | 2.3 MB |
| 6.3.-Token-limit-problem.mp4 | 28.6 MB |
| 6.4.-What-is-RAG..mp4 | 5.2 MB |
| 6.5.-Chroma.mp4 | 5.2 MB |
| 6.6.-Chroma-embeddings.mp4 | 14.8 MB |
| 6.7.-OpenAI-embeddings.mp4 | 15.0 MB |
| 6.8.-Hugging-Face-embeddings.mp4 | 5.4 MB |
| 6.9.-Updating-data.mp4 | 3.9 MB |
| M06. Embedding & Vector Database.txt | 209 bytes |
| jane_smith.txt | 2.4 KB |
| john_doe.txt | 2.4 KB |
| sarah_johnson.txt | 2.5 KB |
| 7.1.-Agents.mp4 | 18.3 MB |
| 7.10.-Retrieval-Augmented.mp4 | 33.8 MB |
| 7.11.-Simple-ChatUI-with-Ollama.mp4 | 14.5 MB |
| 7.12 Upload PDF.pdf | 2.3 MB |
| 7.12.-Upload-PDF.mp4 | 21.7 MB |
| 7.2.-Chains.mp4 | 9.0 MB |
| 7.3.-Chat-with-RAG.mp4 | 16.8 MB |
| 7.4.-Generation.mp4 | 8.0 MB |
| 7.5.-Go-with-Hugging-Face-and-Groq.mp4 | 27.3 MB |
| 7.6.-Go-with-OpenAI.mp4 | 15.1 MB |
| 7.7.-Intro.mp4 | 6.0 MB |
| 7.8.-Memory.mp4 | 13.1 MB |
| 7.9.-RAG-with-PDF.mp4 | 30.6 MB |
| M07. Langchain.txt | 174 bytes |
| app.py | 1.2 KB |
| app_pdf.py | 2.9 KB |
| chainlit.md | 761 bytes |
| jane_smith.txt | 2.4 KB |
| john_doe.txt | 2.4 KB |
| sarah_johnson.txt | 2.5 KB |
| 8.1.-Intro.mp4 | 6.7 MB |
| 8.10 Run Agents - job_description_example.md | 2.3 KB |
| 8.10.-Run-Crew.mp4 | 28.4 MB |
| 8.11.-Installation-libraries.mp4 | 14.8 MB |
| 8.12.-Set-up-components.mp4 | 19.8 MB |
| 8.13.-Crew.mp4 | 29.3 MB |
| 8.2.-Workflow.mp4 | 11.9 MB |
| 8.3.-Agents.mp4 | 9.4 MB |
| 8.4.-Tasks.mp4 | 13.1 MB |
| 8.5.-Tools.mp4 | 11.1 MB |
| 8.6.-Processes.mp4 | 4.6 MB |
| 8.7.-Installation.mp4 | 9.2 MB |
| 8.8.-Run-Agents.mp4 | 13.8 MB |
| 8.9.-Run-Tasks.mp4 | 12.8 MB |
| M08. CrewAI.txt | 135 bytes |
| 9.1.-Intro.mp4 | 12.1 MB |
| 9.2.-Create-GPT.mp4 | 16.5 MB |
| 9.3 Add knowledge base.pdf | 418.5 KB |
| 9.3.-Add-knowledge-base.mp4 | 13.6 MB |
| 9.4.-Nutrition-API.mp4 | 8.1 MB |
| 9.5.-Create-your-actions.mp4 | 17.6 MB |
| 9.6.-Hacking-instruction-prompt.mp4 | 10.7 MB |
| 9.7.-Hacking-uploaded-files.mp4 | 11.6 MB |
| 9.8.-Advanced-hacking-prompt.mp4 | 22.7 MB |
| 9.9.-Layer-of-protection.mp4 | 9.3 MB |
| 9.2 Create GPT.html | 2.5 MB |
| 9.5 Create your actions.html | 1.7 MB |
| M09. GPTs.txt | 171 bytes |
| 10.1.-Problem-_1.mp4 | 3.7 MB |
| 10.10 Add knowledge base.pdf | 418.5 KB |
| 10.10.-Add-knowledge-base.mp4 | 16.7 MB |
| 10.11.-Code-intergreter.mp4 | 9.4 MB |
| 10.12.-Knowledge-base.mp4 | 19.1 MB |
| 10.13.-Function-calling.mp4 | 21.3 MB |
| 10.14.-Basic-Streamlit.mp4 | 21.7 MB |
| 10.15.-Send-email-with-Resend.mp4 | 16.9 MB |
| 10.16 Update utils - create assistant.txt | 2.2 KB |
| 10.16.-Update-utils-create-assistant.mp4 | 24.0 MB |
| 10.17.-Update-utils-functions-for-assistant.mp4 | 13.9 MB |
| 10.18.-Add-logic.mp4 | 33.6 MB |
| 10.2.-Problem-_2.mp4 | 13.3 MB |
| 10.3.-Solution.mp4 | 18.4 MB |
| 10.4.-Multiple-custom-functions.mp4 | 15.5 MB |
| 10.5.-Applications-of-function-calling.mp4 | 15.9 MB |
| 10.6.-Back-to-the-problem.mp4 | 2.4 MB |
| 10.7.-Function-calling-use-cases.mp4 | 21.4 MB |
| 10.8.-Overview.mp4 | 9.0 MB |
| 10.9.-Create-assistant-in-playground.mp4 | 10.8 MB |
| Info.txt | 2.2 KB |
| M10. Function Calling & Assistant.txt | 381 bytes |
| app.py | 2.1 KB |
| utils.py | 4.2 KB |
| 11.1.-Speech-reg-vs-Voice-reg.mp4 | 2.3 MB |
| 11.10.-Structure.mp4 | 1.6 MB |
| 11.11.-Add-Speech-to-Text.mp4 | 8.1 MB |
| 11.12.-Add-Text-to-Speech.mp4 | 16.9 MB |
| 11.13.-Add-Groq.mp4 | 14.8 MB |
| 11.14.-Working-together.mp4 | 11.3 MB |
| 11.15.-Work-with-remote-image.mp4 | 17.1 MB |
| 11.16.-Work-with-local-image.mp4 | 24.9 MB |
| 11.17.-Step-1-Camera-input.mp4 | 7.3 MB |
| 11.18.-Step-2-Input-form.mp4 | 9.3 MB |
| 11.19.-Step-3-AI-image-function.mp4 | 18.5 MB |
| 11.2.-OpenAI-Whisper.mp4 | 12.6 MB |
| 11.20.-Step-4-Test-on-monile.mp4 | 24.7 MB |
| 11.3.-Local-Whisper.mp4 | 19.4 MB |
| 11.4.-Transcribe-Youtube.mp4 | 10.2 MB |
| 11.5.-Deepgram-STT.mp4 | 15.8 MB |
| 11.6.-SpeechRecognition-Google.mp4 | 27.0 MB |
| 11.7.-SpeechRecognition-Whisper.mp4 | 19.0 MB |
| 11.8.-OpenAI-TTS.mp4 | 24.4 MB |
| 11.9.-Deepgram-TTS.mp4 | 14.0 MB |
| M11. Speech & Vision.txt | 388 bytes |
| app.py | 908 bytes |
| img.jpeg | 135.9 KB |
| plant.jpg | 119.3 KB |
| words.jpg | 507.5 KB |
| app.py | 1.2 KB |
| groq_inference.py | 782 bytes |
| microphone-record.wav | 422.0 KB |
| output.wav | 149.2 KB |
| stt_deepgram.py | 1.1 KB |
| tts_deepgram.py | 563 bytes |
| openai_local_image.py | 1.2 KB |
| openai_remote_image.py | 714 bytes |
| stt_local_whisper.py | 552 bytes |
| stt_openai.py | 483 bytes |
| stt_speech_recognition.py | 988 bytes |
| tts_openai.py | 606 bytes |
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SOURCE: Code4Startup The Complete AI Fast Track Bootcamp
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