 | | | | LIVE WEBINAR TIMEZONE_BLOCK | | | | Hosted by: Ashish Kumar - Chief Data Scientist, Indium Software | | | | What to keep in mind while creating successful LLM applications? | | | | | | | | | | | | | | | Hi Suyog Ahuja | | | | We would like to invite you to a FREE Webinar session on the topic What to keep in mind while creating successful LLM applications? | | | | About Webinar: In this webinar, we want to share our learnings (challenges and ways to overcome them) on building successful (deployed and being used in production) ...more | | | | | | | | During this FREE Webinar, our expert(s) will discuss: | | | - Prevalent & most feasible use cases of LLMs (across industries )
- Secret sauce behind LLM's power - A brief intro to Transformers, Seq2Seq, Encoder-Decoder architectures
- Most common approaches to fine tune LLMs - fine-tuning/training, distilation, prompt tuning
- Most noticeable LLMs and their features - GPT, LLama, PaLM, Alpaca etc. Open source vs proprietary, RLHF
- Reference stack/architecture for a LLM application - LangChain or No ?
- Common challenges while building LLM applications - reproducibility of output/prompts, high cost of training due to /token costs
- Predominant LLM solution templates - talk to your PDF (extraction + vector db + LLM based generation), talk to your database ( agents and tools), Automating concierge tasks like booking tickets, writing and sending newsletters
- Two use cases that Indium solved: extractive and generative approaches comparison
| | | | | | | | |  | | | | Ashish Kumar | | Chief Data Scientist, Indium Software | | | | | | | | | | | | | | | | | Warm Regards,
Team TechGig | | | | | |
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