Congrats to @phindsearch on their $10.4M round!
Walls of text are so 2022. On Phind, every answer is now an interactive mini-app.
It’s a step towards their vision of creating a personal internet just for you.
axios.com/pro/enterprise…
Walls of text are so 2022. Introducing Phind 3, where every answer is now an interactive mini-app.
It’s a step towards our vision of creating on-demand software and a personal internet just for you.
We're excited to launch Phind 2 today!
The new Phind is able to go beyond text to present answers visually with inline images, diagrams, cards, and other widgets to make answers much more delightful.
Phind is also now able to seek out information on its own. If it needs more information, it can do multiple rounds of additional searches to get you the most comprehensive answer it can.
Check out our blog post: phind.com/blog/phind-2
Introducing Phind-405B, our new flagship model!
Phind-405B scores 92% on HumanEval, matching Claude 3.5 Sonnet. We're particularly happy with its performance on real-world tasks, particularly when it comes to designing and implementing web apps.
Our focus on technical topics has also made Phind great at answering all questions. We think that our new Phind Instant model, trained similarly to Phind-405B, is the best way to get fast, internet-sourced answers.
More in our blog post: phind.com/blog/introduci…
"We find that Phind-70B is in the same quality realm as GPT-4 Turbo for code generation and exceeds it on some tasks.
Phind-70B is significantly faster than GPT-4 Turbo, running at 80+ tokens per second to GPT-4 Turbo's ~20 tokens per second."
What a launch! 👀
Phind-70B looks like a big deal!
Phind-70B closes the code generation quality gap with GPT-4 Turbo and is 4x faster.
Phind-70B can generate 80+ token/s (GPT-4 is reported to generate ~20 tokens/s). Interesting to see that inference speed is becoming a huge factor in comparing models.
Phind-70B is based on CodeLlama-70B and tuned on 50B tokens more. Supports 32K tokens.
"Phind-70B is also less “lazy” than GPT-4 Turbo and doesn't hesitate to generate detailed code examples."
The thing about custom expert models is that you worry less about hallucinations.
The model weights for Phind-34B will be released soon.
@ali_moiz@paulg Our hypothesis is that specialized models can beat generalist models for things users care about from a product perspective. For us it’s speed and code performance.
Those focused on building AGI might consider such optimizations/tradeoffs a distraction :)
@ali_moiz@paulg @voicesz_ Yep, and the main logic board seemed to be damaged too. Our compute provider replaced the entire underlying host server under warranty.
I'm very impressed by the way Phind, despite being the tiniest of startups, has managed to keep up with the giants. Phind-70B beats GPT-4 Turbo at code generation, and runs 4x faster. There is definitely still room for startups in this game.
Introducing Phind-70B, our largest and most capable model to date!
We think it offers the best overall user experience for developers amongst state-of-the-art models.
phind.com/blog/introduci…
Join us for our San Francisco meetup on February 6th!
We’d love to meet you and hear about how we can keep making Phind better for you.
And, of course, food and drinks will be provided :)
forms.gle/tEGwu2hBtYKptN…
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