+-------------------------------------+----------+ | TableName | RowCount | +-------------------------------------+----------+ | Achievements | 12 | | AiGameResults | 74 | | AiGameRules | 10 | | BadgeLevelRewards | 0 | | BadgeLevels | 12 | | CameraStreams | 37 | | Characteristics | 16 |
1. Real-time Market Updates:
- Instant Monitoring: The AI assistant constantly monitors global news sources and financial databases.
- Tailored Notifications: Users receive instant notifications about price movements, shares, and other assets they're interested in.
- Custom News Briefings: Tailored news briefings based on individual portfolio and preferences.
2. Deep Knowledge Base:
- Ask Anything: Users can ask any market-related question and receive accurate, up-to-date information.
- Comprehensive Training: Trained on vast financial datasets for comprehensive knowledge on stocks, commodities, forex, and more.
nvim ~/Library/LaunchAgents/com.stable_diffusion_webui.plist
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Label</key>
The AI support bot is an advanced conversational agent designed to assist users by providing real-time information and support. It leverages the capabilities of LangChain for natural language processing, PineConeDB for data storage and retrieval, and integrates with external APIs to fetch the latest data based on user requests.
- Purpose: Natural Language Processing (NLP) and understanding.
- Functionality: LangChain processes user input to understand the intent and context. It then generates appropriate responses or triggers specific actions based on the user's request.
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Do I need to be an experienced trader to use Grid Capital?
No, Grid Capital is designed to accommodate both experienced traders and beginners. Our platform's intuitive design ensures that anyone can navigate and make trades with ease.
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What do I need to start trading on Grid Capital?
NER deployment
cd ~/pmi
git clone ssh://gitlab@gitlab.grfc.ru:222/mfti/vectorx-ner.git
cd ~/pmi/vectorx-ner/Docker
docker-compose -f docker-compose.yml build
docker-compose -f docker-compose.yml up
Проверяем через Postman и Ctrl+C чтобы остановить сервис
package com.example.player | |
import android.app.Activity | |
import android.content.Intent | |
import android.media.MediaPlayer | |
import android.net.Uri | |
import android.os.Build | |
import androidx.appcompat.app.AppCompatActivity | |
import android.os.Bundle | |
import android.provider.MediaStore |
Cassandra is written in Java and was open-sourced by Facebook in July 2008. This original version of Cassandra was written primarily by an ex-employee from Amazon and one from Microsoft. It was strongly influenced by Dynamo, Amazon’s pioneering distributed key/value database. Cassandra implements a Dynamo-style replication model with no single point of failure, but adds a more powerful “column family” data model.
Cassandra has become so popular because of its outstanding technical features. It isdurable, seamlessly scalable, and tuneably consistent. It performs blazingly fast writes, can store hundreds of terabytes of data, and is decentralized and symmetrical so there’sno single point of failure. It is highly available and offers a schema-free data model
- Large-scale, high-volume websites, such as Web 2.0 social applications High-performance, decentr
#!/usr/bin/env puma | |
# start puma with: | |
# RAILS_ENV=production bundle exec puma -C ./config/puma.rb | |
# threads_count = ENV.fetch("RAILS_MAX_THREADS") { 16 } | |
rails_env = 'production' | |
app_path = '/home/deploy/my_app' | |
current_path = "#{app_path}/current" |