Reimagine your interaction with technology. This AI assistant adapts to you, offering personalized support that feels natural and intuitive. It's more than a tool, it's a companion that grows alongside you, helping you stay balanced and connected.
@pavel_konoplitski I wish he could forget something)))). We had a deal with Pallie to start morning trainings - now he calls me "lazy sea calf" when I'm spending Sunday mornings in bed.
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I've been testing this for a while now and I'm very impressed with how Paulie retains memory and context - much better than GPT does. The bot is good with jokes and current events and it takes notes of my interest to engage in talks proactively. Much like a real person, only more informed. For a beta, this is an unexpectedly well-trained AI buddy, so I'm excited to see what comes next!
Creating a chatbot system from scratch - the Team
Let's talk about the people behind our bot.
Fulltime:
- 3 Data scientists
- 2 Senior Python devs
- 1 Senior iOS dev
- 2 Project/Product Managers
- 1 QA eng
- 1 Dev ops
- Last but not least - Dictator leader (not me)))
Part-time & Consultant:
- DS researchers
- Health experts
- UX researchers
- LLM foundational researchers
- Legal consultants
Some interesting stats:
- 3 PhDs 🎓 - you all know how hard it is to get such hat
- 3 Kaggle grandmasters 🟡 - doesn't tell you anything probably but it's like National Olympic Team in DS
- 7 Countries 🗺️
- ~10 spoken languages
Topics for papers that we didn't publish:
- Short, medium, and long-term memory
- Task-oriented dialog system with linked goals
- Solution for LLM-as-a-judge volatility issues
- Expert / LLM alignment
- Novel approach for fuzzy search with text embeddings
- Adaptive proactive messaging
- Event-based dialog systems
- Heath data transformations for LLM systems
- Complex data representation for system-prompting
- Dynamic multi-agent setups
- Dynamic and adaptive prompting
- ... I could name at least 10 more, but even these seem enough
Chatbot:
- Complex Multi-agent setup
- Web search
- Image search
- GIF search
- Meme search
- Health data connector
- Reactions and emojis
- Timer/Scheduler
- Memory (all kinds)
- Bot profile
- User profile
- RAG
- Image generation
- Image Analysis
- Voice messaging
All these components make each user experience unique. The more you talk - the better it becomes. It's like having your really personal AI bot that no one can replicate.
@kyakovlev Fascinating team and product! Thank you so much for this level of transparency! Curious - what did you find most challenging in creating Pallie?
@alexstrvinsky The most challenging part was to make
"Multi session task oriented dialog system"
Here is all the magic.
Pallie gets your goal / task and follows it through multiple sessions tomorrow - day after - week after.
The goal mutates or even becomes unimportant and Pallie adapts as much as he/she/it can.
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Congrats on the launch! Had a small chat with Pallie and really love the ton of voice, nice job, guys!
@anastasia_dashkevich
Thank you, Anastasia!
1. Pallie personalizes recommendations using your Apple Health data.
2. We collaborate with health professionals to ensure our technology is accurate.
3. We actively gather user feedback to continuously improve Pallie’s guidance.
Please give it a try and let us know if you spot any inaccuracies!
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Been using Pallie for a bit and loving how it integrates with messengers - makes communication super easy. Congrats on the launch, team!
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