Hemanth HM
Hemanth HM
 ### Snyk has created this PR to fix 8 vulnerabilities in the npm dependencies of this project. #### Snyk changed the following file(s): - `package.json` #### Vulnerabilities that will...
 ### Snyk has created this PR to fix 1 vulnerabilities in the npm dependencies of this project. #### Snyk changed the following file(s): - `package.json` #### Vulnerabilities that will...
### Bug description ``` ⚡ ~ litgpt finetune_lora meta-llama/Llama-3.2-1B --data JSON --data.json_path sanksrit-dataset.json --data.val_split_fraction 0.1 --train.epochs 1 --out_dir out/llama-3.2-finetuned --precision bf16-true > res Seed set to 1337 Traceback (most recent...
```py from phi.assistant import Assistant from phi.tools.yfinance import YFinanceTools from phi.llm.groq import Groq assistant = Assistant(llm=Groq(model="llama3-8b-8192"),tools=[YFinanceTools(stock_fundamentals=True,income_statements=True, key_financial_ratios=True, analyst_recommendations=True, company_news=True, technical_indicators=True, company_profile=True)], show_tool_calls=True, description="You are an investment analyst that researches stock...
This for the demo agent in the [playground](https://www.phidata.app/playground?endpoint=api.demo-agents.com).
What am I missing? The `web_agent` is not able to fetch the right info from `DDG` but the `duckduckgo-search` package can.
 ### Snyk has created this PR to fix 2 vulnerabilities in the npm dependencies of this project. #### Snyk changed the following file(s): - `package.json` - `package-lock.json` #### Vulnerabilities...
The `window.ai.rag` API enables web applications to perform Retrieval-Augmented Generation (RAG) directly in the browser. RAG combines the power of large language models with the ability to retrieve and incorporate...
`window.ai.finetune` enables web applications to fine-tune nano/ any local AI models directly in the browser. This API allows developers to customize AI models based on specific datasets or raw text,...
## Use Case The `window.ai.contextCache` API allows web applications to efficiently manage and reuse context information for AI models. This is particularly useful for applications that involve ongoing conversations or...