torrmal

16 giorni fadiscuss

[flagged]

Open-source, very smart and It will make you think that Glean, ThoughtSpot, and practically any tool you've ever used to "answer questions from data to get your job done" look like fax-machines at an antique shop.

torrmal

4 mesi fadiscuss

[dead]

torrmal

9 mesi fadiscuss

we have been trying to make it so that people dont have to reinvent the wheel, over and over and over again, and have a very straight forward all batteries included that can scale to many millions of documents, combining the best of RAG with traditional search and parametric search, https://docs.mindsdb.com/mindsdb_sql/knowledge_bases/overvie... Would love your feedback.

torrmal

anno scorsodiscuss

1000% we think it can be very valuable, and also it can add a layer of security, have you been able to try it?

torrmal

anno scorsodiscuss

Please share what you think about this! Your feedback means the world to us

torrmal

anno scorsodiscuss

At Mindsdb we have been using it, and I truly believe it’s the future of open source code management.

torrmal

anno scorsodiscuss

Hey HN,

So, casually trying to make LLaMA achieve consciousness (as one does on a Tuesday), when I stumbled upon something hilarious. Turns out, you can make these language models "reason" with about as much code as it takes to write a "Hello World" program. No, really!

https://colab.research.google.com/drive/1jfsG0_XP8a5mME76F5a...

Here's the philosophical crisis I'm having now: When you ask an LLM to code something vs. asking it to reason about something... are we basically watching the same neural spaghetti being twirled around?

The real question is: If one can make an AI model "think" with 5 lines of code, does this mean: a) An LLM should be able to write its own reasoning code b) We've been overthinking AI? c) The simulation is running low on RAM d) All of the above

Would love to hear your thoughts, preferably in the form of recursive functions or philosophical paradoxes.

P.S. No LLAMAs were harmed in the making of this experiment, though several did ask for a raise.

torrmal

2 anni fadiscuss

great question, i think rather than smaller inputs, you should be able to have as much context as needed in. Its more aboue smaller outputs, that are well typed and allow you to control workflow via standard coding mechanics. Therefore getting the best of both worlds, llms power of understanding unstructured info (which python sucks at) and being able to control things which python is great at.

torrmal

3 anni fadiscuss

Hey — We built a text-to-SQL skill, connected it to an agent, and in the end, you can publish a Chatbot to Slack.

This is useful because it lets non-technical people ask questions of a database and get the answers they need.

Please check out our demo above and let us know what you think.

torrmal

3 anni fadiscuss

A MindsDB engineers demonstrates how to create a Text to SQL skill, connect it to an agent, and publish a chatbot to Slack.

torrmal

3 anni fadiscuss

Learn how to make your own Midjourney bot with a few simple SQL commands. This tutorial uses a Twitter bot, but you can use texts, Slack, Rocket.chat or email.

torrmal

3 anni fadiscuss

Are you excited for Hacktoberfest 2023? While this year’s event may offer only digital rewards, we’ve got something extraordinary in store for you! Join us at MindsDB for the most thrilling open-source contribution journey, where you can unlock a world of exciting prizes.

torrmal

3 anni fadiscuss

actually, yes they do have support for Llama2 70B, you need 39GB of ram, compared to 130GB that it originally takes.

torrmal

3 anni fadiscuss

well, I am not sure how small you can turn your 70b model into a small one, but its a great question for the Ollama creators: https://lu.ma/yourdatayourmodel

torrmal

3 anni fadiscuss

this is pretty cool, can I connect to it with any Postgres client?

torrmal

5 anni fadiscuss

yes!! we were thinking about this too! we have made some massive progress on timeseries models and lowering latency, lets chat soon, I'll connect over email!

torrmal

5 anni fadiscuss

Hi Omneity, thanks for asking. You can deploy Mindsdb on a container, no application that you build querying the Mindsdb server has licensing dependencies, as its essentially no different from using most opensource databases out there.

torrmal

5 anni fadiscuss

absolutely lets connect!! jorge at mindsdb

torrmal

5 anni fadiscuss

These are amazing questions Streetcat, We do some hyperparameter search using Optuna, we may be moving to Ray Tune because it can be highly parallelized. If MindsDB fails, it depends on how various DBs manage federated storage, but essentially you will get a query error. Funny that you mention automatic retraining, people have been asking for this recently, we will be supporting a retrain_frequency parameter in the coming releases, would you like to give it a test drive?

Submissions

Claudio? Why we need and open source Claude

Claude but Open-Source –> One workplace. Not five tools that hate eachother

Anton – The most advanced AI data-coworker

Hello to Unstructured Analytics

Federated Data Access for MCP (Model Context Protocol)

Building Llamas That Think?

Llama That Thinks

FlawLess AgenTs – Feedback Welcome

Agents suck – but it can be better

[untitled]

Tap into 17 LLMs with a Single API – Free with Unlimited Tokens

Use Llama 3 models for free via OpenAI-compatible API

LLMs: What if we did unlimited tokens instead?

Feedback wanted: How to build a chatbot with GPT4

Feedback Wanted: How to Build a Text-to-SQL Agent

Build a user-friendly chatbot for database queries

How to build your own Midjourney with SQL

Elevate Your Hacktoberfest Experience: MindsDB's Grand Prize Bonanza

[untitled]

Does the size of your llama matter? What's Ollama?, can I plug it to Chroma? (

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