denimboy

I think the real story here is auto embeddings:

  https://manual.manticoresearch.com/Searching/KNN#Auto-Embeddings-(Recommended)

and hybrid search:

  https://manual.manticoresearch.com/Searching/Hybrid_search#Hybrid-search

With these two features you can set up RAG with hybrid search in about the time it takes to install the server and insert the documents.

Manticore is really performant and uses far fewer resources than similar search engines like elastic.

denimboy

4 ay öncediscuss

> Mikula, 33 years old, spent more than a decade selling cars and auto financing at dealerships. Now he deploys his fluency in car-dealer speak and his encyclopedic knowledge of dealer inventory to try to talk down the sticker prices.

I may be over optimistic but "car-dealer speak" sounds like something an AI could be trained on and access to inventory might be a couple of tool calls to the appropriate APIs.

denimboy

6 ay öncediscuss

Should have been called slashBOT

denimboy

7 ay öncediscuss

images and text embedded into a shared space

denimboy

geçen yıldiscuss

https://archive.is/IE2Cp

denimboy

geçen yıldiscuss

I wonder how this compares to RWKV-V5 7B

https://blog.rwkv.com/p/eagle-7b-soaring-past-transformers

denimboy

geçen yıldiscuss

I knew a dog that had a decent vocabulary. He would visibly react to words like CAR, WALK, or PARK. He also understood PARTY and MEAT and would wag his tail for PART and lick his chops to MEAT. One time we were going to a BBQ so I explained to him we were taking the CAR to a MEAT PARTY and he got super excites, wagging his tail and going to the door all while frothing at the mouth. Anecdotal but it certainly looked like he could synthesize concepts and imagine what was going to happen in the near future.

I've done a few other experiments with my foreign speaking friends and it appeared to me that dogs understand the language their owners speak primarily.

denimboy

2 yıl öncediscuss

This guide explores how to evolve Emacs into a robust Python IDE. Whether you’re writing simple scripts or managing large-scale projects, you’ll find a setup that aligns with your engineering needs and reflects the power of Emacs customization.

denimboy

2 yıl öncediscuss

This is the year of the Linux desktop

denimboy

3 yıl öncediscuss

mergekit is the tool you need to do this

  https://github.com/cg123/mergekit

you can slice off layers and blend models with different strategies.

denimboy

3 yıl öncediscuss

No because programming is more than typing and more than grinding out code. It requires understanding business and creating solutions which satisfy customer needs which requires understanding of the culture. You aren’t going to get that with some remote hands code monkey.

denimboy

3 yıl öncediscuss

I think they are using the LLM as few shot learner then using that to label the rest of the training data and finally using the now fully labeled data to train a more traditional supervised classifier like DistilBert.

denimboy

3 yıl öncediscuss

Sell 5500 to depress the market and then buy back at depressed price.

denimboy

3 yıl öncediscuss

Keras-ocr

denimboy

3 yıl öncediscuss

I ate at El grullense no 1 on middlefield almost every day in 1995. 5 dollars for 5 tacos at the time. No salsa bar but they put enough of the delicious ranchero salsa and pickled jalapeño for a perfect plate.

I think the ones on el Camino actually came a couple years later. One tiny one in front of Safeway and another down south a bit. I think this is the one he ranks as number one.

I really recommend trying anyone of these places if you can. Really the simple ranchero style is delicious and unlike other Mexican food you’ve had. Sorry not a lot of vegetables but you can skip the soda and get an agua Fresca or carrot juice to make up for it.

denimboy

3 yıl öncediscuss

Privacy-focused search engine DuckDuckGo has a new optional artificial intelligence feature called DuckAssist. Users of DuckDuckGo's browser apps or extensions can access a beta version of the feature now, for free.

denimboy

4 yıl öncediscuss

> Smell is the thing that gets me a lot of the time with classic cars too.

I had a 1972 Triumph Bonneville which had a "tickler" button on each carb instead of a choke. That meant to start it up you would press each tickler button until a bit of gas shot out invariably on your hand but also the engine and the sometimes hot exhaust. Only after this ritual was performed could you jump on the kickstart (no electric start). So you end up smelling like gas.

Q: Why to the British drink warm beer? A: Because Lucas makes electrics.

denimboy

4 yıl öncediscuss

914 had a type 4 engine which it shared with the type 2 VW bus. However the transmission was completely different from the bus. The 914 had 5 speeds and the bus only had 4.

A lot of the article is about "you'll never find 2nd" which is in large part to the weird shifting pattern. Reverse is where first usually is, first is where second usually is and the rest are in a kind of off by one pattern from there. This was actually considered a feature since supposedly it allows the driver to make the shift from first to second faster.

The vagueness of the stick is very true and something every 914 owner can relate to. Those first couple weeks you spend some time hunting for the right slot. I went from first to fifth many times before a muscle memory was developed and I didn't have to think about it.

denimboy

4 yıl öncediscuss

StarSpace

StarSpace is a general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems:

    Learning word, sentence or document level embeddings.
    Information retrieval: ranking of sets of entities/documents or objects, e.g. ranking web documents.
    Text classification, or any other labeling task.
    Metric/similarity learning, e.g. learning sentence or document similarity.
    Content-based or Collaborative filtering-based Recommendation, e.g. recommending music or videos.
    Embedding graphs, e.g. multi-relational graphs such as Freebase.
    Image classification, ranking or retrieval (e.g. by using existing ResNet features).

In the general case, it learns to represent objects of different types into a common vectorial embedding space, hence the star ('*', wildcard) and space in the name, and in that space compares them against each other. It learns to rank a set of entities/documents or objects given a query entity/document or object, which is not necessarily the same type as the items in the set.

denimboy

5 yıl öncediscuss

See also integration between PDL and MXNet deep learning framework:

   https://mxnet.apache.org/versions/1.8.0/api/perl

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Ape sign language was a bunch of babbling nonsense

Qwen3 Vision Language Embedding Model

Craig Newmark backs Global Signal Exchange anti-fraud push

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DuckDuckGo adds CHatpGPT powered DuckAssist

StarSpace: General neural model for efficient learning of entity embeddings

Is the madness ever going to end?

Datavis: Unacast social distancing scores to known per capita Covid-19 US map

Eigen Grandito – Principal Components Analysis of the Taco Bell Menu

Sheriff Says Needs Drones to find 'lost seniors'

Reading the face of IBM’s Watson

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