Nicolay Gerold

I think the biggest mistake around improving the system is that most people are spending too much time on the actual synthesis without actually understanding whether or not the data is being retrieved correctly. To avoid this:

• Create synthetic questions for each text chunk in your database


• Use these questions to test your retrieval system


• Calculate

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7 must-know strategies to scale your database

Indexing:

Check the query patterns of your application and create the right indexes.

Materialized Views:

Pre-compute complex query results and store them for faster access.

Denormalization:

Reduce complex joins to improve query performance.

Vertical Scaling

Boost your database server by adding more CPU, RAM, or... See more

Amplify Partners was running a survey among 800+ AI engineers to bring transparency to the AI Engineering space. The report is concise, yet it provides a wealth of insights into the technologies and methods employed by companies for the implementation of AI products.

Highlights

👉 Top AI use cases are code intelligence, data extraction and workflow... See more

The subtle brilliance of the CTA labelling, is that they both signal that the user is going to do something.

And to be clear, this commitment is all internal. It's the customer persuading themselves that they're going to do it.

🌽

1. Commitment to picking a plan

i.e., the action of selecting, not an uncommitted "learning" or "viewing" plans.

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2.... See more

CDO has three primary responsibilities:

• Create, package, distribute, and continually improve the quality and usefulness of data and information assets


• Continually leverage these assets in multiple ways to create and enhance business value


• Measure, record, and track the business value generated by these data and information assets, and report this

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Watching intense light between 10 and 4 at Night reduces the capacity to produce dopamine.

core components of Deep RL that enabled success like AlphaGo: self-play and look-ahead planning.

Self-play is the idea that an agent can improve its gameplay by playing against slightly different versions of itself because it’ll progressively encounter more challenging situations. In the space of LLMs, it is almost certain that the largest portion... See more

The study leveraged large language models (GPT-3.5) to identify and analyze critical aspects of emerging corporate risks using earnings call transcripts — with respect to Political, Climate-related, and AI risks.

More than 69,000 earnings call transcripts were used in the study, and the GPT model was instructed to make human-readable risk summaries... See more

How much do you think we’re going to get tons of specialization versus no, once the brain gets big enough and we do these fine tunings, that’s going to be it. It will be like AWS, GCP, and Azure.

Ali: I think the answer is closer to the latter. It’s going to have lots of specialization. Having said that, it’s not a dichotomy in the sense that maybe... See more