Harald Nezbeda

Summarising Videos Privately Without Cloud APIs - Harald Nezbeda

How can you summarize sensitive company meetings without sending your data to the cloud? Learn to build a private, on-device alternative.

Summarising Videos Privately Without Cloud APIs - Harald Nezbeda
#1about 3 minutes

Building a local video summarization pipeline

The initial proof-of-concept used speaker diarization, speech recognition with Whisper, and summarization with a BART model.

#2about 3 minutes

Evolving the tool with a user-friendly interface

A hackathon project rebuilt the initial concept with a chat interface and prompt templates for more versatile interactions.

#3about 6 minutes

Using open models for privacy and flexibility

Using services like Groq with open-weight models allows for cloud-based development with a clear path to private, on-premise deployment.

#4about 3 minutes

Options for running AI models on local infrastructure

Self-hosting is achievable by combining tools like Whisper ASR Web Service for transcription with Ollama or VLLM for LLM inference.

#5about 7 minutes

Whisper model performance and open source AI

OpenAI's Whisper model performs well across many languages, and its transparent documentation contrasts with many "open-weight" models that are not truly open source.

#6about 8 minutes

Understanding the security risks of AI agents

The convenience of AI agents creates significant security and privacy risks when they are given broad access to local systems and data.

#7about 9 minutes

Sandboxing AI agents with the VIPOD project

The VIPOD project isolates AI agents in containers with network proxies to limit potential damage and trace their activity.

#8about 2 minutes

The importance of networking at tech conferences

The most valuable part of attending an on-site conference is being open and talking to as many people as possible to share ideas.

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