Exploring the Core Features of HeyMusic.ai

1. Elegant and Intuitive Interface: The design is clean and inviting, making navigation and creation a breeze, even for newcomers.
2. Comprehensive Lyric Editor: This feature provides extensive control over your song's lyrics and adaptation, allowing for meticulous customization.
3. Variety in Musical Styles: Whether your taste leans towards electronic, classical, or any genre in between, HeyMusic.ai has you covered.

Why Choose HeyMusic.ai for Your Music Creation?

• AYANEO Pocket S Overview 📏: Get a detailed look at the design, dimensions, and color options of the AYANEO Pocket S.
• Technical Specifications 💻: Learn about the powerful Snapdragon G3X Gen 2 processor, 12GB or 16GB RAM options, and up to 1TB of UFS 4.0 storage.
• System and Gaming Benchmarks 🧩: See how the AYANEO Pocket S performs in benchmarks like Geekbench and 3DMark compared to the A.Y.N. Odin 2.
• Game and Emulator Performance 🎮: Discover how well this handheld handles popular games and emulators, including performance metrics and user experience.

• Proficient in Unreal Engine, Unity Engine, and Godot.
• Experienced in gameplay mechanics, scripting, AI, and optimization.

• Narrative design: Compelling story creation, character development, and world-building.
• Level design: Engaging level creation, encounter design, and flow optimization.
• Graphics design: Strong visual design sense for creating captivating environments and assets.
• UI/UX design: User-friendly and intuitive interface creation for seamless player experience.

• FPS/TPS
• RPG
• MMO/MMORPG
• Free-to-play
• RTS
• Simulation
• Puzzles & Platformers
• Card Games

Cone Morning! WelCone to the Daily Coneversaton!🙏

🔗🔗Quick Links:

🤖Bot Commands (CommunityCurrencyBot and DripBot):

• !withdraw [amount]: Withdraw off-chain rewards to your vault wallet (usable once every 7 days).
• !balance: Check your off-chain RCC rewards balance.
• !tip: Tip a user directly from your off-chain balance.
• !faucet: A one-time command gifting 10,000 $CONE.
• !tower: tower game
• !mashup: shows your current mashup
• !resync: Updates vault wallet

🆘️QUICK GUIDE:

• Ways to Earn CONE:

1. Through Post Upvotes.
2. Share and Earn with Flooz: Visit https://bitcone.lol/ and use the Flooz referral program to earn 0.1% $CONE on trades made by your referrals.
3. Stake $CONE or LP to farm more $CONE: Provide liquidity through QuickSwap and farm the LP with MERKL or stake your $CONE with ICHI. Visit https://quickswap.exchange/#/farm.

🚀🚀ONGOING/UPCOMING EVENTS

• ConeHeads RoadMap
• MERKL Farm Info
• Trezor and Ledger Affiliation CHECK OUT TIMMYS POST HERE
• ICHI farming info Post here
• Check out some Cone Games that reward HODLERS ArCone Interactive9

• Rakuten is a reputable website/app with millions of users that gives you up 20% cash back on popular stores like Nike, Target, and Petsmart
  • www.rakuten.com/QIANTE3?eeid=44971
• Banking/Investment
  • SoFi is a great online checking/savings bank that offers up to 4.9% interest on accounts(currently).
  • https://www.sofi.com/invite/money?gcp=d8903675-1661-40fb-8ff6-f87843aa727e&isAliasGcp=false
• Credit Cards
  • Amex: Gold: https://americanexpress.com/en-us/referral/PARRYC8P8N?XLINK=MYCP
  • Amex Plat: https://americanexpress.com/en-us/referral/HUIQITJbcu?XLINK=MYCP
  • Capital One Venture X: https://i.capitalone.com/J8Jn8yE0u
• Here I explain my favorite side hustle, step by step.
  • https://www.reddit.com/sidehustlemoney/comments/17jswev/how_i_basically_travel_for_free/

• Explaining why travel hacking is my favorite side hustle, along with step by step instructions.
  • https://www.reddit.com/sidehustlemoney/comments/17jswev/how_i_basically_travel_for_free/

• Rakuten is a reputable website/app with millions of users that gives you up 20% cash back on popular stores like Nike, Target, and Petsmart
  • www.rakuten.com/QIANTE3?eeid=44971
• SoFi is a great online checking/savings bank that offers up to 4.9% interest on accounts(currently).
  • https://www.sofi.com/invite/money?gcp=d8903675-1661-40fb-8ff6-f87843aa727e&isAliasGcp=false

• Keep it Clean: A cluttered website can be overwhelming for visitors. Keep the design clean and organized to make it easy for users to navigate.
  
• Showcase Your Personality: Your website is a reflection of your personal brand, so make sure it showcases your unique personality and style.
  
• Mobile Optimization: With the majority of internet users browsing on mobile devices, it's crucial to ensure your website is optimized for mobile responsiveness.
  
• Consistent Branding: Use consistent colors, fonts, and imagery across your website to strengthen your brand identity.
  
• Easy Navigation: Make it simple for visitors to find what they're looking for by having clear navigation menus and intuitive user interface elements.
  
• High-Quality Imagery: Visuals play a crucial role in capturing the attention of your audience. Use high-quality images that resonate with your brand.
  
• Call to Action: Include clear call-to-action buttons throughout your website to guide visitors on the actions you want them to take.
  
• Testimonials and Reviews: Incorporating testimonials and reviews can build trust with your audience and showcase the value you provide.
  
• Contact Information: Make it easy for visitors to reach out to you by prominently displaying your contact information.
  

Crisis Resources

• If you or someone you know is in an emergency, call 911 immediately.
• If you are in crisis or are experiencing difficult or suicidal thoughts,
  • access National Suicide Prevention Lifeline - call 1-800-273-8255 (TALK); en Español - 1-888-628-9454
  • International Hotlines: https://www.opencounseling.com/suicide-hotlines
  • If you'd rather not talk on the phone you can use the Online Chat
• If you’re uncomfortable talking on the phone, you can also text "HELLO" to 741-741 to be connected to a free, trained crisis counselor on the Crisis Text Line.

Mental Health Resources

• Umatch: Up to 5 free virtual counseling sessions with a licensed therapist with no need for referral
• Urise: On-demand curated wellness events to complement therapy.

• GT Wellness Hub
• Center for Mental Health Care and Resources
• Wellness Empowerment Center
• Stamps Psychiatry
• Togetherall app
• Headspace app (69.99 USD per year FREE for GaTech OMS Students!)

Chat with Someone in OMSCS ❤️

Motivation

RAG Agent Architecture and Technical Stack

1. Streamlit: provides a frontend interface for users to interact with a chatbot.
2. FastAPI: facilitates communication between the frontend and backend.
3. Dingo Agent: agent powered by GPT-4 Turbo model from OpenAI that has access to provided knowledge bases and invokes data retrieval from them if needed.
4. LLMs docs: a vector store containing documentation about the recently released Phi-3 (from Microsoft)and Llama 3 (from Meta) models.
5. Audio gen docs: a vector store containing documentation about the recently released OpenVoice model from MyShell.
6. Embedding V3 small model from OpenAI: computes text embeddings.
7. QDrant: vector database that stores embedded chunks of text.

Implementation

Step 0:

pip install agent-dingo 

export OPENAI_API_KEY=your-api-key 

Step 1:

# component.py from agent_dingo.rag.embedders.openai import OpenAIEmbedder from agent_dingo.rag.vector_stores.qdrant import Qdrant from agent_dingo.llm.openai import OpenAI # Initialize an embedding model embedder = OpenAIEmbedder(model="text-embedding-3-small") # Initialize a vector store with information about Phi-3 and Llama 3 models llm_vector_store = Qdrant(collection_name="llm", embedding_size=1536, path="./qdrant_db_llm") # Initialize a vector store with information about OpenVoice model audio_gen_vector_store = Qdrant(collection_name="audio_gen", embedding_size=1536, path="./qdrant_db_audio_gen") # Initialize an LLM llm = OpenAI(model = "gpt-3.5-turbo") 

Step 2:

# build.py from components import llm_vector_store, audio_gen_vector_store, embedder from agent_dingo.rag.readers.web import WebpageReader from agent_dingo.rag.chunkers.recursive import RecursiveChunker # Read the content of the websites reader = WebpageReader() phi_3_docs = reader.read("https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/") llama_3_docs = reader.read("https://ai.meta.com/blog/meta-llama-3/") openvoice_docs = reader.read("https://research.myshell.ai/open-voice") # Chunk the documents chunker = RecursiveChunker(chunk_size=512) phi_3_chunks = chunker.chunk(phi_3_docs) llama_3_chunks = chunker.chunk(llama_3_docs) openvoice_chunks = chunker.chunk(openvoice_docs) # Embed the chunks for doc in [phi_3_chunks, llama_3_chunks, openvoice_chunks]: embedder.embed_chunks(doc) # Populate LLM vector store with embedded chunks about Phi-3 and Llama 3 for chunk in [phi_3_chunks, llama_3_chunks]: llm_vector_store.upsert_chunks(chunk) # Populate audio gen vector store with embedded chunks about OpenVoice audio_gen_vector_store.upsert_chunks(openvoice_chunks) 

python build.py 

Step 3:

# serve.py from agent_dingo.agent import Agent from agent_dingo.serve import serve_pipeline from components import llm_vector_store, audio_gen_vector_store, embedder, llm agent = Agent(llm, max_function_calls=3) # Define a function that an agent can call if needed @agent.function def retrieve(topic: str, query: str) -> str: """Retrieves the documents from the vector store based on the similarity to the query. This function is to be used to retrieve the additional information in order to answer users' queries. Parameters ---------- topic : str The topic, can be either "large_language_models" or "audio_generation_models". "large_language_models" covers the documentation of Phi-3 family of models from Microsoft and Llama 3 model from Meta. "audio_generation_models" covers the documentation of OpenVoice voice cloning model from MyShell. Enum: ["large_language_models", "audio_generation_models"] query : str A string that is used for similarity search of document chunks. Returns ------- str JSON-formatted string with retrieved chunks. """ print(f'called retrieve with topic {topic} and query {query}') if topic == "large_language_models": vs = llm_vector_store elif topic == "audio_generation_models": vs = audio_gen_vector_store else: return "Unknown topic. The topic must be one of `large_language_models` or `audio_generation_models`" query_embedding = embedder.embed(query)[0] retrieved_chunks = vs.retrieve(k=5, query=query_embedding) print(f'retrieved data: {retrieved_chunks}') return str([chunk.content for chunk in retrieved_chunks]) # Create a pipeline pipeline = agent.as_pipeline() # Serve the pipeline serve_pipeline( {"gpt-agent": pipeline}, host="127.0.0.1", port=8000, is_async=False, ) 

python serve.py 

Step 4:

# app.py import streamlit as st from openai import OpenAI st.title("🦊 Agent") # provide any string as an api_key parameter client = OpenAI(base_url="http://127.0.0.1:8000", api_key="123") if "openai_model" not in st.session_state: st.session_state["openai_model"] = "gpt-agent" if "messages" not in st.session_state: st.session_state.messages = [] for message in st.session_state.messages: avatar = "🦊" if message["role"] == "assistant" else "👤" with st.chat_message(message["role"], avatar=avatar): st.markdown(message["content"]) if prompt := st.chat_input("How can I assist you today?"): st.session_state.messages.append({"role": "user", "content": prompt}) with st.chat_message("user", avatar="👤"): st.markdown(prompt) with st.chat_message("assistant", avatar="🦊"): stream = client.chat.completions.create( model=st.session_state["openai_model"], messages=[ {"role": m["role"], "content": m["content"]} for m in st.session_state.messages ], stream=False, ) response = st.write_stream((i for i in stream.choices[0].message.content)) st.session_state.messages.append({"role": "assistant", "content": response}) 

streamlit run app.py 

Conclusion

• Current credit cards:
  • Clearview Federal Credit Union Platinum Mastercard $500 limit, 7/2013
    • currently sits in a drawer, oldest card, from local credit union
  • Discover it $29,000 limit, 2/2016
    • barely use, do not like rotating categories
  • Barclays GAP $15,000 limit, 10/2017
    • barely use, got for SUB when buying clothes
  • Apple Card $11,500 limit, 8/2019
    • use for Apple products, ACMI, and Apple Pay purchases when other card rewards are less than 2x
  • Chase Freedom Flex $17,900 limit, 2/2022
    • barely use, do not like rotating categories
  • CapitalOne SavorOne $30,000 limit, 11/2022
    • use most frequently if not joint expense or Apple Pay
  • American Express Platinum, no limit, 4/2023
    • use for all joint expenses and travel
  • Chase Amazon Prime Visa $24,000 limit, 12/2023
    • use for all Amazon purchases and Costco
• FICO Scores: Experian 804, Discover 788
• Oldest credit card account age with you as primary name on the account: 10 years 10 months
  • Average age of accounts: 6 years 2 months
  • Age of most recent account: 5 months
• Number of personal credit cards approved for in the past 6 months: 1
• Number of personal credit cards approved for in the past 12 months: 1
• Number of personal credit cards approved for in the past 24 months: 3
• Annual income $125,000

• OK with category-specific cards?: Yes
• OK with rotating category cards?: No
• Average monthly spend
  • Dining $600
  • Groceries $500
  • Gas $200
  • Travel - yearly budget $5-10,000 (budgeting higher this year due to honeymoon)
    • Flight $250 (monthly) $2500 (yearly)
    • Hotel $400 (monthly) $5000 (yearly)
    • Cruise $250 (monthly) $2500 (yearly)
  • Amazon $200
  • Costco $300
  • Streaming Services $60
  • Phone/Internet $120
  • Do you plan on using this card abroad for a significant length of time?: No
  • Can you pay rent by credit card? $780 by check only

• Current member of Amazon Prime
• Current member of Costco
• Currently paying for Disney+ Bundle, but using Amex Plat credits for this
• Current member of Chase, US Bank or any other big bank?: PNC Bank, have 2 Chase credit cards
• Are you open to Business Cards?: Probably not as I have no side hustle currently that I could use as a "business"

• What's the purpose of your next card?: Simplifying and maximizing rewards points
• Do you have any cards you've been looking at? I've been thinking about some version of the AMEX or Chase Trifecta