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- Practical examples and best practices to implement right away
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
2. Demand for Reliability of IT
Providing and defending the reliability of IT systems is the biggest driver of efforts to
manage the way components interact with each other to generate outcomes that are
specific enough and good enough to offer as a service.
Choosing the components and their arrangements calls on both engineering (for viable
functionality) and architecture (for logical feasibility).
However, the necessary choices to be made for reliability are actually about several factors
that are “elements” of the service.
Components are only one kind of factor. Relationships, requirements, circumstances, and
other issues are other types of factors that are also elements.
To manage reliability – by providing, sustaining or restoring it – the “necessary” data is data
about the elements.
3. Expectations of the Demand
We normally talk about the elements in nearly narrative ways that describe the service.
The semantics of the narration itself tell us how we normally recognize and expect when
something “should” work.
In fact, that recognition “intuitively” tells us why we think our subject of interest – a
service – should work.
Illustrating that recognition tells us how we can represent the service for manageability.
Naturally, management will rely on the representation to identify what it can influence,
and how it can exert the influence in a practical way.
The practicalities are in providing, maintaining or restoring the service. All of those efforts
address the organization of the service elements.
4. How elements of a service are
logically organized in the service
Model (noun) - a simplified representation of a complex system or entity, especially one
designed to facilitate calculations and predictions.
To derive the organization of a service, we first ask what is meaningful and why, then we
arrange things to show how the meanings are related, demonstrated and used.
7. Example
An example from real life can be used to show this idea.
In the example, we describe a key part of a system, describe how that part provides a
service, and describe the service – relying on key factors that show how things are
expected to work.
All together, those descriptions align (model) the factors in a way that would be maintained
to ensure that desired results are most probable.
Therefore, if undesirable results arose instead, those results might be evidence that
something is out of alignment.
The example is a baseball game in which a coach (the manager) decides to use a certain
type of pitcher in a game situation for a specified outcome.
8. “I’ve got a left-hander who can throw only fastballs and sliders for no more than four innings.”
Pitcher X
PITCHING
DEFENSE
Service
Sub-service
Sub-sub-service
RESOURCE
SPECIFICATION.
An enablement of a service
is intentional or not,
permanent or not, and risky
or not. Management both
determines and aims for the
positives.
The Manager makes a
decision about when and
why to deploy this resource.
The deployment enables
a service.