Navigating Challenges and Innovations in Search Technologies - Atita Arora
12/27/23 • 57 min
We talked about:
- Atita’s background
- How NLP relates to search
- Atita’s experience with Lucidworks and OpenSource Connections
- Atita’s experience with Qdrant and vector databases
- Utilizing vector search
- Major changes to search Atita has noticed throughout her career
- RAG (Retrieval-Augmented Generation)
- Building a chatbot out of transcripts with LLMs
- Ingesting the data and evaluating the results
- Keeping humans in the loop
- Application of vector databases for machine learning
- Collaborative filtering
- Atita’s resource recommendations
Links:
- LinkedIn: https://www.linkedin.com/in/atitaarora/
- Twitter: https://x.com/atitaarora
- Github: https://github.com/atarora
- Human-in-the-Loop Machine Learning: https://www.manning.com/books/human-in-the-loop-machine-learning
- Relevant Search: https://www.manning.com/books/relevant-search
- Let's learn about Vectors: https://hub.superlinked.com/ Langchain: https://python.langchain.com/docs/get_started/introduction
- Qdrant blog: https://blog.qdrant.tech/
- OpenSource Connections Blog: https://opensourceconnections.com/blog/
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
We talked about:
- Atita’s background
- How NLP relates to search
- Atita’s experience with Lucidworks and OpenSource Connections
- Atita’s experience with Qdrant and vector databases
- Utilizing vector search
- Major changes to search Atita has noticed throughout her career
- RAG (Retrieval-Augmented Generation)
- Building a chatbot out of transcripts with LLMs
- Ingesting the data and evaluating the results
- Keeping humans in the loop
- Application of vector databases for machine learning
- Collaborative filtering
- Atita’s resource recommendations
Links:
- LinkedIn: https://www.linkedin.com/in/atitaarora/
- Twitter: https://x.com/atitaarora
- Github: https://github.com/atarora
- Human-in-the-Loop Machine Learning: https://www.manning.com/books/human-in-the-loop-machine-learning
- Relevant Search: https://www.manning.com/books/relevant-search
- Let's learn about Vectors: https://hub.superlinked.com/ Langchain: https://python.langchain.com/docs/get_started/introduction
- Qdrant blog: https://blog.qdrant.tech/
- OpenSource Connections Blog: https://opensourceconnections.com/blog/
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
Previous Episode
The Entrepreneurship Journey: From Freelancing to Starting a Company - Adrian Brudaru
We talked about:
- Adrian’s background
- The benefits of freelancing
- Having an agency vs freelancing
- What let Adrian switch over from freelancing
- The conception of DLT (Growth Full Stack)
- The investment required to start a company
- Growth through the provision of services
- Growth through teaching (product-market fit)
- Moving on to creating docs
- Adrian’s current role
- Strategic partnerships and community growth through DocDB
- Plans for the future of DLT
- DLT vs Airbyte vs Fivetran
- Adrian’s resource recommendations
Links:
- Adrian's LinkedIn: https://www.linkedin.com/in/data-team/
- Twitter: https://twitter.com/dlt_library
- Github: https://github.com/dlt-hub/dlt
- Website: https://dlthub.com/docs/intro
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
Next Episode
Bayesian Modeling and Probabilistic Programming - Rob Zinkov
We talked about:
- Rob’s background
- Going from software engineering to Bayesian modeling
- Frequentist vs Bayesian modeling approach
- About integrals
- Probabilistic programming and samplers
- MCMC and Hakaru
- Language vs library
- Encoding dependencies and relationships into a model
- Stan, HMC (Hamiltonian Monte Carlo) , and NUTS
- Sources for learning about Bayesian modeling
- Reaching out to Rob
Links:
- Book 1: https://bayesiancomputationbook.com/welcome.html
- Book/Course: https://xcelab.net/rm/statistical-rethinking/
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
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