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4:25

Taking Gemma3 for a spin

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2:34

Why every data analyst needs the DuckDB GSheets plugin?

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Shared 1 year ago

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4:22

Querying structs just got 6x faster in DuckDB 1.2

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3:22

DuckDB 1.2 CLI Features That Will Make Your Life EASIER!

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4:09

4 Ways DuckDB 1.2 makes SQL even friendlier

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4:08

Level up your Python scripts with uv

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Shared 1 year ago

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6:33

An intro to Anthropic MCP with DuckDB

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7:54

Agentic Analytics with PhiData and DuckDB

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4:07

Building an AI agent with PhiData and Streamlit

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4:07

How to add memory to a PhiData agent

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5:12

An intro to the PhiData agent library

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5:08

Do LLMs understand markdown tables?

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Shared 1 year ago

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7:50

Intro to burr: A State Machine for LLM apps

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4:27

Llama 3.2-vision: The best open vision model?

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Shared 1 year ago

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3:30

Moonshine: Real-Time Speech-To-Text on your laptop

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4:08

NuExtract: An LLM that extracts information

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4:12

Using LLMs on the command line

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2:32

Ollama: Running Hugging Face GGUF models just got easier!

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3:52

The fastest way to run OpenAI Whisper Turbo on a Mac

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3:32

Ollama: How to send multiple prompts to vision models

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4:09

Running OpenAI Whisper Turbo on a Mac

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4:43

An intro to rerankers: A uniform API for reranking models

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5:06

DuckDB dynamic column selection gets even better

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Shared 1 year ago

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5:21

Ollama and LanceDB: The best combination for Local RAG?

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3:13

Searching images on my laptop with LanceDB

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6:14

Rewriting RAG Queries with OpenAI Structured Outputs

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3:23

DuckDB function chaining: The simpler SQL you didn't know you needed

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5:50

Why OpenAI's new Structured Outputs feature is awesome!

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7:18

What Are Matryoshka Embeddings?

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6:45

How to evaluate retrieval in RAG pipelines

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6:30

Hybrid Search for RAG in DuckDB (Reciprocal Rank Fusion)

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5:53

Full-Text Search vs Vector Search (RAG with DuckDB)

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7:35

Search-Based RAG with DuckDB and GLiNER

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8:38

Local RAG with llama.cpp

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5:01

A UI to quantize Hugging Face LLMs

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5:19

Mistral 7B Function Calling with llama.cpp

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6:51

Does Mistral 7B function calling ACTUALLY work?

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5:55

Mistral 7B Function Calling with Ollama

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6:38

Hugging Face SafeTensors LLMs in Ollama

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3:57

Are LLaVA variants better than original?

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4:54

An Ollama Chatbot Arena (with Streamlit)

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4:01

Ollama can run LLMs in parallel!

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5:35

Serverless GenAI with Beam (GPU as a service)

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3:52

Voice to Text on a Mac with insanely-fast-whisper

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5:21

How does OpenAI Function Calling work?

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3:51

Semantic Router: No more rogue LLM chatbots?

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3:47

Running LLMs on a Mac with llama.cpp

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5:43

GLiNER: Easiest way to do Entity Extraction in 2024?

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5:36

Visualising embeddings with t-SNE

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8:05

Exploring the comments of AI YouTube channels

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4:53

Google Gemma 2B vs 7B with Ollama

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4:52

SLIM: Small models for specific tasks by LLMWare

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4:44

Ollama adds OpenAI API support

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4:52

Content Discovery with Embeddings (ft. Qdrant/FastEmbed)

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5:41

LLaVA 1.6 is here...but is it any good? (via Ollama)

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4:30

Ollama has a Python library!

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6:01

Langroid: Chat to a CSV file using Mixtral (via Ollama)

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6:11

User-Selected metadata in RAG Applications with Qdrant

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5:39

Building a local ChatGPT with Chainlit, Mixtral, and Ollama

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5:39

Constraining LLMs with Guidance AI

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