LLMOps Space

Traceability and Observability in Multi-Step LLM Systems | Langfuse | LLMOps

48:30

Traceability and Observability in Multi-Step LLM Systems | Langfuse | LLMOps

Ай бұрын

Vector and Keyword Search for Enhanced LLM Performance 🚀 | LLMOps

53:01

Vector and Keyword Search for Enhanced LLM Performance 🚀 | LLMOps

3 ай бұрын

Private RAG with Open Source and Custom LLMs 🚀 | BentoML | OpenLLM

51:26

Private RAG with Open Source and Custom LLMs 🚀 | BentoML | OpenLLM

3 ай бұрын

Building Multi-Modal Search and RAG with Vector Databases 🚀 | LLMOps

51:38

Building Multi-Modal Search and RAG with Vector Databases 🚀 | LLMOps

4 ай бұрын

Config-Based Development for LLMs: Versioning, Routing, & Evaluating LLMs 🚀 | LLMOps

47:07

Config-Based Development for LLMs: Versioning, Routing, & Evaluating LLMs 🚀 | LLMOps

5 ай бұрын

Fine-tuning LLMs with Hugging Face SFT 🚀 | QLoRA | LLMOps

53:56

Fine-tuning LLMs with Hugging Face SFT 🚀 | QLoRA | LLMOps

6 ай бұрын

The Science of LLM Benchmarks: Methods, Metrics, and Meanings | LLMOps

45:03

The Science of LLM Benchmarks: Methods, Metrics, and Meanings | LLMOps

6 ай бұрын

Orchestrating RAG: Retrieval, Canopy, & Pinecone 🚀 | LLMOps

58:04

Orchestrating RAG: Retrieval, Canopy, & Pinecone 🚀 | LLMOps

7 ай бұрын

Evaluating LLM-Based Apps: New Product Release | Deepchecks LLM Validation

47:43

Evaluating LLM-Based Apps: New Product Release | Deepchecks LLM Validation

8 ай бұрын

Securing AI & LLM based Applications: Best Practices | LLMOps

50:51

Securing AI & LLM based Applications: Best Practices | LLMOps

8 ай бұрын

Advanced RAG: Chunking, Embeddings, and Vector Databases 🚀 | LLMOps

50:17

Advanced RAG: Chunking, Embeddings, and Vector Databases 🚀 | LLMOps

8 ай бұрын

Building LLM Powered Apps: Best Practices | Qdrant | Vector Databases | LLMOps 🚀

44:46

Building LLM Powered Apps: Best Practices | Qdrant | Vector Databases | LLMOps 🚀

9 ай бұрын

Leveraging Open Source Large Language Models (LLMs) for Production | Dstack 🚀

53:55

Leveraging Open Source Large Language Models (LLMs) for Production | Dstack 🚀

10 ай бұрын

Building an LLMOps Stack for Large Language Models | LLMs

43:28

Building an LLMOps Stack for Large Language Models | LLMs

10 ай бұрын

Пікірлер

@karansingh-fk4gh

@karansingh-fk4gh Ай бұрын

Worst

@pravingaikwad1337

@pravingaikwad1337 2 ай бұрын

What is the loss function used?

@nachoeigu 3 ай бұрын

Good interview, I really enjoy it. Uniquely, I think it would be great less interruptions between each slide that Chaoyu was talking. It is only a constructive criticism, I think that distracts the audience. Keep it going, amazing content!

@tatvafnu6604 3 ай бұрын

Thanks for putting the recording and sending an email notification about it!

@LLMOpsSpace 3 ай бұрын

😄

@soulfuljourney22

@soulfuljourney22 4 ай бұрын

this is very interesting and can help in building quite useful applications

@coldedkiller1125

@coldedkiller1125 5 ай бұрын

can you please share colab notebook also is there a way to put path of dataset and model locally (like path form my pc ) ?

@ShaiHaaron 4 ай бұрын

colab.research.google.com/drive/1-xGUUad2O3Y3V0-qBxES7JPD4pKB4FI9?usp=sharing

@SteveMayzak 6 ай бұрын

You mention you’re the only distributed vector db. Is that true? There are multiple distributed vector dbs including Elasticsearch. What exactly makes you the only one?

@darkreaper4990

@darkreaper4990 2 ай бұрын

it's just marketing or they are living under a rock lol

@faraazkhan 6 ай бұрын

Can i use different embedding models for chunk embedding and query embedding

@gangs0846 6 ай бұрын

Thank you

@rushikeshnaik779

@rushikeshnaik779 6 ай бұрын

Thank you for the session. 🎉

@kaluvayikowshik6546

@kaluvayikowshik6546 7 ай бұрын

Fantastic

@micbab-vg2mu 8 ай бұрын

Thank you for the video.