You're really not thinking with portals. The power of LLMs is not that they outperform highly specialized tools in very niche applications (although, with the correct system instructions, input variables, prompting techniques, and parameters -- I'm convinced they CAN outperform MANY specialized tools). The power of LLMs like GPT4 is that they can act as as "brain" in any repetitive business process that used to require a human, AND they will outperform 80% of the people doing this work. Think of ANY recurring business process, and you'll find tasks that can be almost completely automated by a simple python workflow with a few API calls to OpenAI. Marketing: Competitor / market research Scraping, summarizing, analyzing, generating reports Social media posts Idea generation Copy Scheduling Community engagement Commenting / reposting / engaging on platforms Content marketing Brainstorming / content strategy creation Content drafting Content editorial Advertising Ad creation Optimization (e.g. Loop in Google Ads API and have different GPT4 workflows doing everything from analyzing search queries to adding negative keywords). Email marketing Lead scraping + filtering Domain warming Lead research / profile scraping Completely personalized outreach emails based on scraped social profiles Sales: Sales development activities Email Social Phone messages CRM sanitation / upkeep Filtering / triaging leads Automatic transcription + summaries + to-dos based on conversations Automated follow-ups Read CRM notes & followup with all inactivate prospects with personalized messages Sales Strategy Analyzing notes / conversations and generating a personalized pitch Transcribing calls and analyzing buyer sentiment Service / Support: Chatting with an embedded knowledge base for: Customer service queries Technical support Summarizing / analyzing agent conversations Drafting messages / responses to customers Automatically building / expanding knowledge base based on user queries Technical / Dev Data pre-processing Unit testing Chatting with your codebase Translating user requirements into technical requirements / Jira tickets Sprint planning / DOR & DOD drafting Translating technical documentation into user language Drafting technical documentation This is all just the tip of the iceberg. Virtually any repetitive process that was difficult to automate because it required a competent brain as a checkpoint is now ripe for automation. More on reddit.com

No github tem alguns, e testei alguns modelos se procura realizar um trabalho mais complexo talvez não sirva. Sem falar q tem modelos que tem focos diferentes tbm. More on reddit.com

Forgive my ignorance but isn't one of the purpose of local LLM is to avoid impact on your code even when main foundational model changes? More on reddit.com

Have you tried OpenRouter? More on reddit.com