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Generative AI In-Depth Roadmap – Beginner to Expert
Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence

Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence

Generative AI In-Depth Roadmap – Beginner to Expert

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
116 درس
31:33 Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence
03:56 Generative AI Complete History Part-1 | Classical AI vs Modern AI | AI vs ML vs DL vs GEN AI
59:25 Generative AI History Part2 | Language Modelling | Seq to Seq model | RNN | LSTM | GRU
54:44 Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model
29:50 @LlamaIndex Introduction | RAG System | LlamaIndex Doc Walkthrough #generativeai #llamaindex #llm
31:32 @LlamaIndex Project Setup | Simple Q/A System using OpenAI API and LlamaIndex #OpenAI #LlamaIndex
36:01 Google Gemini Introduction Part 1 | Google Gemini Python API #gemini #generativeai #llm
31:40 Google gemini API with Python Part 2| text to text generation | image to text generation #gemini #ai
02:08 Google gemini API with Python Part 3| Embedding | Saftey Setting #gemini
22:20 🟥 Let’s build QA System with @LlamaIndex and Google Gemini!(LlamaIndex, Gemini Embedding, GeminiPro)
29:37 @OpenAI "SORA" Just SHOCKED EVERYONE | Text-to-Video Generation | AGI | Alternatives of SORA
38:33 LangChain v/s Llama-Index | Detailed Differences | Which one you should use?
53:45 End to End RAG Pipeline Part-1 | RAG Architecture | Ingestion | generation | Reterival #rag #llm
37:02 End to End RAG Pipeline Part-2 | Advance Reterival Process | RAG Architecture In depth
49:04 RAG Pipeline from Scratch Using OLlama Python & Llama2 | | Llama2 Setup in local PC #llama2 #rag
53:16 RAG Application using @LangChain @OpenAI and FAISS #llm #rag #python #langchain #vectordata
47:30 RAG Application using Langchain Mistral AI and Weviate db #llm #rag #langchain #vector #mistral
33:24 RAG Application Using OpenSource Framework @LlamaIndex and @Mistral-AI #rag #finetuning #llm
46:03 Haystack by Deepset - Framework to Build LLM Apps | RAG Pipeline Using Haystack and OpenAI
45:30 Discover The Power Of Multilingual Ai Voice Assistant With Google Gemini-pro And gTTS Technology!
01:40 End to End RAG Application Using Haystack MistralAI Pinecone & FastAPI #rag #llm #haystack #mistral
47:42 Complete Automated Local Setup for AI (ML,DL,GenAI) Development With Vscode, Git, Anaconda & Docker
22:47 25 Best VSCode Extensions for AI (ML,DL,GenAI) Devlopment In 2024
24:37 Multimodal RAG Systems: Comprehensive Introduction to Next-Gen AI Technology #multimodal #rag #ai
46:36 MultiModal RAG Application Using LanceDB and LlamaIndex for Video Processing
41:28 Realtime Multimodal RAG Usecase Part 1 | Extract Image,Table,Text from Documents #rag #multimodal
29:42 Realtime Multimodal RAG Usecase Part 2 | MultiModal Summrizer | RAG Application #rag #multimodal #ai
21:44 Realtime Multimodal RAG Usecase Part 3 | MultiVectorRetriever with Langchain | RAG Application #rag
40:30 Realtime Multimodal RAG Usecase with Google Gemini-Pro-Vision and Langchain | RAG Application #rag
53:23 End to End RAG App with Hugging face Google Gemma &  MongoDB Vector Search #rag #ai #llm #genai
44:38 Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-1 #rag #llm #mongodb #pinecone
24:46 Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-2 #rag #llm #mongodb #pinecone
31:43 Chat With Multiple Documents(pdfs, docs, txt, pptx etc.) using AstraDB and Langchain #rag #ai
37:45 Built Powerful Multimodal RAG using Vertex AI(GCP), AstraDb and Langchain #rag #ai
08:18 End to end E-Commerce Chatbot With AWS Deployment using Astra dB(Cassandra), Langchain & Open AI #ai
53:17 Realtime Powerful RAG Pipeline using Neo4j(Knowledge Graph Db) and Langchain #rag
01:10 Advance RAG 01 - Powerful RAG Using Hybrid Search(Keyword+vVector search) | Ensemble Retrieval
48:16 Advacne RAG 02 - Hybrid Search (Keyword + Vector ) & Reranking With Cohere API | Ensemble Retrieval
35:31 End-to-End Weather Chatbot with Google DialogFlow and AWS CI/CD Deployment
28:43 Advanced RAG 03 - Reranking with Sentence Transformers and BM25 API
19:21 Advanced RAG 04 - Reranking with Cross Encoders, and Cohere API
40:11 Advance RAG 05 - Merger Retriever and LongContextReorder | Lost in Middle Phenomenon
48:59 Advance RAG 06- RAG Fusion (Get More Relevant Results for Your RAG) | Reranking With RRF
29:48 Advance RAG 07 - Flash Reranker for Superfast Reranking
57:20 Advance RAG 08- Powerful RAG with Langchain Contextual Compression Retriever #ai #llm #openai
45:11 Advance RAG 09- Powerful RAG with Self Querying Retriever #ai #llm #openai
51:05 Advance RAG 10- Powerful RAG with Parent Document Retriever #ai #llm #openai #gemini
38:04 End-to-End RAG With Llama 3.1, Langchain, FAISS and OLlama #ai #llm #llama #huggingface
39:47 Advance RAG 11- Powerful RAG with Sentence Window Retriever using @LlamaIndex and @qdrant #ai #llm
31:53 Advance RAG 12- Powerful RAG with Merger Retriever and Hypothetical Document Embeddings(HyDE) #ai
55:49 Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence
07:50 Generative AI Complete History Part-1 | Classical AI vs Modern AI | AI vs ML vs DL vs GEN AI
37:27 Generative AI History Part2 | Language Modelling | Seq to Seq model | RNN | LSTM | GRU
40:45 Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model
33:00 @LlamaIndex Introduction | RAG System | LlamaIndex Doc Walkthrough #generativeai #llamaindex #llm
44:12 @LlamaIndex Project Setup | Simple Q/A System using OpenAI API and LlamaIndex #OpenAI #LlamaIndex
52:49 Google Gemini Introduction Part 1 | Google Gemini Python API #gemini #generativeai #llm
10:35 Google gemini API with Python Part 2| text to text generation | image to text generation #gemini #ai
42:42 Google gemini API with Python Part 3| Embedding | Saftey Setting #gemini
39:15 🟥 Let’s build QA System with @LlamaIndex and Google Gemini!(LlamaIndex, Gemini Embedding, GeminiPro)
52:15 @OpenAI "SORA" Just SHOCKED EVERYONE | Text-to-Video Generation | AGI | Alternatives of SORA
45:31 LangChain v/s Llama-Index | Detailed Differences | Which one you should use?
19:49 End to End RAG Pipeline Part-1 | RAG Architecture | Ingestion | generation | Reterival #rag #llm
27:10 End to End RAG Pipeline Part-2 | Advance Reterival Process | RAG Architecture In depth
37:50 RAG Pipeline from Scratch Using OLlama Python & Llama2 | | Llama2 Setup in local PC #llama2 #rag
46:04 RAG Application using @LangChain @OpenAI and FAISS #llm #rag #python #langchain #vectordata
17:41 RAG Application using Langchain Mistral AI and Weviate db #llm #rag #langchain #vector #mistral
26:19 RAG Application Using OpenSource Framework @LlamaIndex and @Mistral-AI #rag #finetuning #llm
30:54 Haystack by Deepset - Framework to Build LLM Apps | RAG Pipeline Using Haystack and OpenAI
44:22 Discover The Power Of Multilingual Ai Voice Assistant With Google Gemini-pro And gTTS Technology!
42:36 End to End RAG Application Using Haystack MistralAI Pinecone & FastAPI #rag #llm #haystack #mistral
06:11 Complete Automated Local Setup for AI (ML,DL,GenAI) Development With Vscode, Git, Anaconda & Docker
59:34 25 Best VSCode Extensions for AI (ML,DL,GenAI) Devlopment In 2024
17:36 Multimodal RAG Systems: Comprehensive Introduction to Next-Gen AI Technology #multimodal #rag #ai
37:08 MultiModal RAG Application Using LanceDB and LlamaIndex for Video Processing
35:30 Realtime Multimodal RAG Usecase Part 1 | Extract Image,Table,Text from Documents #rag #multimodal
07:11 Realtime Multimodal RAG Usecase Part 2 | MultiModal Summrizer | RAG Application #rag #multimodal #ai
52:38 Realtime Multimodal RAG Usecase Part 3 | MultiVectorRetriever with Langchain | RAG Application #rag
36:44 Realtime Multimodal RAG Usecase with Google Gemini-Pro-Vision and Langchain | RAG Application #rag
45:54 End to End RAG App with Hugging face Google Gemma &  MongoDB Vector Search #rag #ai #llm #genai
09:20 Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-1 #rag #llm #mongodb #pinecone
20:01 Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-2 #rag #llm #mongodb #pinecone
04:41 Chat With Multiple Documents(pdfs, docs, txt, pptx etc.) using AstraDB and Langchain #rag #ai
37:46 Built Powerful Multimodal RAG using Vertex AI(GCP), AstraDb and Langchain #rag #ai
11:35 End to end E-Commerce Chatbot With AWS Deployment using Astra dB(Cassandra), Langchain & Open AI #ai
47:58 Realtime Powerful RAG Pipeline using Neo4j(Knowledge Graph Db) and Langchain #rag
27:46 Advance RAG 01 - Powerful RAG Using Hybrid Search(Keyword+vVector search) | Ensemble Retrieval
50:34 Advacne RAG 02 - Hybrid Search (Keyword + Vector ) & Reranking With Cohere API | Ensemble Retrieval
05:39 End-to-End Weather Chatbot with Google DialogFlow and AWS CI/CD Deployment
48:36 Advanced RAG 03 - Reranking with Sentence Transformers and BM25 API
10:34 Advanced RAG 04 - Reranking with Cross Encoders, and Cohere API
58:20 Advance RAG 05 - Merger Retriever and LongContextReorder | Lost in Middle Phenomenon
03:40 Advance RAG 06- RAG Fusion (Get More Relevant Results for Your RAG) | Reranking With RRF
12:42 Advance RAG 07 - Flash Reranker for Superfast Reranking
12:21 Advance RAG 08- Powerful RAG with Langchain Contextual Compression Retriever #ai #llm #openai
21:13 Advance RAG 09- Powerful RAG with Self Querying Retriever #ai #llm #openai
24:00 Advance RAG 10- Powerful RAG with Parent Document Retriever #ai #llm #openai #gemini
22:09 End-to-End RAG With Llama 3.1, Langchain, FAISS and OLlama #ai #llm #llama #huggingface
53:56 Advance RAG 11- Powerful RAG with Sentence Window Retriever using @LlamaIndex and @qdrant #ai #llm
43:48 Advance RAG 12- Powerful RAG with Merger Retriever and Hypothetical Document Embeddings(HyDE) #ai
14:04 Generative AI In-Depth Roadmap from Beginner to Expert #generativeai #artificialintelligence
32:45 Generative AI Complete History Part-1 | Classical AI vs Modern AI | AI vs ML vs DL vs GEN AI
15:47 Generative AI History Part2 | Language Modelling | Seq to Seq model | RNN | LSTM | GRU
26:12 Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model
35:09 @LlamaIndex Introduction | RAG System | LlamaIndex Doc Walkthrough #generativeai #llamaindex #llm
44:42 @LlamaIndex Project Setup | Simple Q/A System using OpenAI API and LlamaIndex #OpenAI #LlamaIndex
53:48 Google Gemini Introduction Part 1 | Google Gemini Python API #gemini #generativeai #llm
55:52 Google gemini API with Python Part 2| text to text generation | image to text generation #gemini #ai
57:41 Google gemini API with Python Part 3| Embedding | Saftey Setting #gemini
59:38 🟥 Let’s build QA System with @LlamaIndex and Google Gemini!(LlamaIndex, Gemini Embedding, GeminiPro)
36:14 @OpenAI "SORA" Just SHOCKED EVERYONE | Text-to-Video Generation | AGI | Alternatives of SORA
03:20 LangChain v/s Llama-Index | Detailed Differences | Which one you should use?
55:31 End to End RAG Pipeline Part-1 | RAG Architecture | Ingestion | generation | Reterival #rag #llm
48:15 End to End RAG Pipeline Part-2 | Advance Reterival Process | RAG Architecture In depth
57:19 RAG Pipeline from Scratch Using OLlama Python & Llama2 | | Llama2 Setup in local PC #llama2 #rag
06:18 RAG Application using @LangChain @OpenAI and FAISS #llm #rag #python #langchain #vectordata