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173 results

LangChain
Observability and Evals for AI Agents: A Simple Breakdown

You don't know what your agents will do until you actually run them — which means agent observability is different and more ...

14:45
Observability and Evals for AI Agents: A Simple Breakdown

4,877 views

3 days ago

Braintrust
Shipping fast without losing AI quality at Replit

Luis Héctor Chávez, CTO of Replit, explains how observability changed the way Replit builds its AI-powered platform. He shares ...

1:36
Shipping fast without losing AI quality at Replit

43 views

4 days ago

ClickHouse
Supercharging Observability with ClickHouse and AI - Qonto

This presentation was given by Javier Ortiz, Staff SRE at Qonto, at the ClickHouse Meetup in Paris ...

28:23
Supercharging Observability with ClickHouse and AI - Qonto

339 views

5 days ago

AI with Surya
The Agent Engineering Problem Nobody's Talking About

What is Agent Engineering or Agentic Engineering ? 2026 is the year of agents, but building and deploying them is only half the ...

14:58
The Agent Engineering Problem Nobody's Talking About

3,719 views

6 days ago

Braintrust
From traces to evals at Vercel

Malte Ubl, CTO of Vercel, explains how evals became the foundation of iteration velocity for v0. He talks through what happens ...

1:15
From traces to evals at Vercel

41 views

4 days ago

Juan Olano
HiveBoard - Agentic Observability

AI agents don't fail like traditional software. They drift. They retry. They choose expensive models when cheaper ones could work.

3:00
HiveBoard - Agentic Observability

0 views

4 days ago

Braintrust
Braintrust's series B: building the infrastructure for production AI

We raised $80M in Series B funding led by ICONIQ to build the observability layer for production AI. As AI agents go from demos ...

2:55
Braintrust's series B: building the infrastructure for production AI

312 views

3 days ago

Machine Learning Lagos
ML System Design: From Prototype to Production

Many machine learning projects succeed in notebooks but fail in production. This talk explores the end-to-end journey of turning ...

1:13:41
ML System Design: From Prototype to Production

110 views

Streamed 2 days ago

Pydantic
Reliable and Observable AI Agents with Pydantic AI and DBOS

In this walkthrough, Qian and Lais chat about how to build fault-tolerant, observable AI agents by combining Pydantic AI with ...

13:05
Reliable and Observable AI Agents with Pydantic AI and DBOS

47 views

1 day ago

Voxel51
Build Reliable AI apps with Observability, Validations and Evaluations

As generative AI moves from experimentation to enterprise deployment, reliability becomes critical. This session outlines a ...

17:55
Build Reliable AI apps with Observability, Validations and Evaluations

9 views

15 hours ago

Aakash Gupta and HelloPM
The AI Skill that No PM Can Ignore in 2025: AI Evals

AI features don't fail because of the model. They fail because nobody evaluated them. Ankit Chukla has taught thousands of PMs ...

1:04:00
The AI Skill that No PM Can Ignore in 2025: AI Evals

5,116 views

2 days ago

DevOps Hint
OpenTelemetry Exporters Explained | OTLP, Collector, Jaeger, Prometheus, Datadog | Observability

Learn how to export telemetry data using OpenTelemetry step-by-step. In this video, we cover how to send Traces, Metrics, and ...

15:01
OpenTelemetry Exporters Explained | OTLP, Collector, Jaeger, Prometheus, Datadog | Observability

121 views

7 days ago

Tobias Macey
From Blind Spots to Observability: Operationalizing LLM Apps with OpenLit

Harness Bruin's connectors for hundreds of platforms, including popular machine learning frameworks like TensorFlow and ...

50:37
From Blind Spots to Observability: Operationalizing LLM Apps with OpenLit

45 views

5 days ago

Lightning AI
How to build and test inference servers with Lightning AI (Local to Production)

... #MLOps #APIServer #ModelDeployment #InferenceAPI #Docker #Autoscaling #GPU #MachineLearning #AIInfrastructure.

5:44
How to build and test inference servers with Lightning AI (Local to Production)

48 views

2 days ago

Braintrust
Bringing structure to AI evals at Retool

Allen Kleiner, AI Engineering Lead at Retool, explains what it looks like to debug a multi-agent system where a single trace can be ...

1:34
Bringing structure to AI evals at Retool

0 views

4 days ago

DEV-O_ai
DEV-O | Product Overview

DEV-O is a Digital Engineering Virtual Orchestrator — an AI-native control layer that connects your engineering stack (Git, tickets, ...

2:20
DEV-O | Product Overview

39 views

5 days ago

Redpanda Data
What Agent Infrastructure Actually Looks Like

Everyone's talking about AI agents. But what does the infrastructure underneath them actually look like? In this video I break down ...

3:19
What Agent Infrastructure Actually Looks Like

37 views

2 days ago

Byrddynasty - Agentic AI Strategist
From Black Box to Glass Box: Making AI Agent Reasoning Observable

THE FINAL SKILL IS HERE This is the last individual skill in the Nine Skills for Agentic AI Strategist series - and it might be the ...

19:46
From Black Box to Glass Box: Making AI Agent Reasoning Observable

0 views

6 days ago

Platform Engineering
5 key principles of modern apps: From operations to design and delivery

He is the inventor of two U.S. patents focused on machine learning approaches to cloud optimization. He is also experienced in ...

55:43
5 key principles of modern apps: From operations to design and delivery

291 views

Streamed 1 day ago

Data Science Mentorship Program (DSMP) in IT
Streaming Intelligence: How Kafka, ZooKeeper, TensorFlow & Keras Power Real-Time AI Systems at Scale

Streaming Intelligence: How Kafka, ZooKeeper, TensorFlow, and Keras Power Real-Time AI Systems at Enterprise Scale. If you'd ...

10:52
Streaming Intelligence: How Kafka, ZooKeeper, TensorFlow & Keras Power Real-Time AI Systems at Scale

11 views

4 days ago