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Mistral Releases Deep Research, Voice, Projects in Le Chat

mistral.ai

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Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#131

Post by littlestymaar »

pablonaj wrote: post #39
M4v3R wrote: post #29

I think they've buried the lede with their image editing capabilities, which seem to be very good! OpenAI's model will change the whole image while editing messing up details in unrelated areas. This seems to perfectly preserve parts of the image unrelated to your query and selectively apply the edits, which is very impressive! The only downside is the output resolution (the resulting image is 1184px wide even though…

They are using Flux Kontext from Black Forest Labs, fantastic model.

Ah! That was my intuition as well but do you have a source for that?

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#132

Post by raphaelj »

I've been trying to use other LLM providers than OpenAI over the past few weeks: Claude, Deepseek, Mistral, local Ollama ...

While Mistral might not have the best LLM performances, their UX is IMO the best, or at least a tie with OpenAI's:

- I never had any UI bug, while these were common with Claude or OpenAI (e.g. a discussion disappearing, LLM crashing mid-answer, long context errors on Claude ...);

- They support most of the features I liked from OpenAI, such as libraries and projects;

- Their app is by far the fastest, thanks to their fast reply feature;

- They allow you to disable web-search.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#133

Post by Uehreka »

ikt wrote: post #100
Uehreka wrote: post #61

Earlier quoted context omitted.

When ChatGPT, then Llama, then Alpaca came out in rapid succession, I decided to hold off a year before diving in. This was definitely the right choice at the time, it’s becoming less-the-right-choice all the time. In particular it’s important to get past the whole need-to-self-host thing. Like, I used to be holding out for when this stuff would plateau, but that keeps not happening, and the things we’re starting to…

i don’t quite see the point in waiting, if you’re using something like lm studio just download the latest and greatest and you’re on your way, where is the fatigue part? i can understand maybe if you’re spending hours setting it up but to me these are download and go

Yeah, that’s why I said waiting a year after Llama v1 was good. By that point llama.cpp, LM Studio and Ollama were all pretty well established and a lot of low-hanging fruit around performance and memory mapping stuff was picked.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#134

Post by joshstrange »

conradfr wrote: post #110
riffraff wrote: post #107

Earlier quoted context omitted.

TBF, "reimagining" has been done by real estate agents and sellers before LLMs, it just required more skills.

As an additional photo it's a valid usecase, not as the only one.

I’m current house shopping and I think I’m pro or neutral on “AI staging” as long as it’s clearly labeled (which has been the case).

Especially when the house is vacant/empty, it helps to see a proposed layout so you can imagine living there.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#136

Post by irqlevel »

jiehong wrote: post #81
nomad_horse wrote: post #27

Earlier quoted context omitted.

> brought back competitive open source audio transcription Bear in mind that there are a lot of very strong _open_ STT models that Mistral's press-release didn't bother to compare to, making impression they are the best new open thing since Whisper. Here is an open benchmark: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard . The strongest model Mistral compared to is Scribe, ranked 10 here. This benchmark…

I just can’t find dictation apps for Mac using those models except for open whisper. IBM’s granite models seems multilingual and well ranked, but can’t find any app using it. Anybody aware of a dictation app using one of those "better" models?

Try https://whisperclip.com —it delivers low-latency, real-time voice-to-text streaming to any macOS app.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#137

Post by fakepropaganda »

okasaki wrote: post #130
trilogic wrote: post #82

Finally EU is waking up. Proud of it. I am switching asap my Openai contract finishes to Mistral. We got to support EU, Viva La France.

A company owned by US investors, running on US infra, in a "strategic partnership with Microsoft", is "the EU waking up"? What a joke.

while once again conflating what individuals are doing with the EU - a political entity

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#138

Post by exe34 »

barbazoo wrote: post #36
exe34 wrote: post #33

Earlier quoted context omitted.

I remember the days when I was looking for the perfect note-taking system/setup - I never achieved anything with it, I was too busy figuring out the best way to take notes.

Once we find the best way though...

Yep, now I have a directory of org files.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#139

Post by sunaookami »

bangaladore wrote: post #51

If you haven't tried OpenAI's deep research feature, you are missing out. I'm not sure of any good alternatives, I've tried Google's, and I'm not impressed. There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.

All of them create an overly verbose report that reads like typical AI slop. Especially Gemini - it's good that it reads like 200 sources but it creates a page long "report" when you e.g. only want to compare features or prices.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#140

Post by PxldLtd »

lossolo wrote: post #106
klntsky wrote: post #102

Earlier quoted context omitted.

Also not true. Even the API surface differs

API is irrelevant. It's like saying that talking to John via Telegram or WhatsApp is like talking to a different person.

I agree here a fair bit, not that I'm an expert or anything. I'd like to see some progress on some of the neuronal modelling. It seems since 'attention is all you need' they've locked into this LLM stack and gluing up models as data pipelines rather than integrating different NN's on a deeper level.
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