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thenameless7741

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www.gktk.us 1y ago

UX Beyond Prompting [WIP]

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2pts0
addyo.substack.com 1y ago

The Prompt Engineering Playbook for Programmers

thenameless7741
18pts1
aistudio.google.com 1y ago

Lyria RealTime Demo: Prompt DJ MIDI

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1pts0
discuss.ai.google.dev 1y ago

Regression: Detailed Gemini Thinking Process Vanished from AI Studio

thenameless7741
2pts0
a16z.com 1y ago

Nine Emerging Developer Patterns for the AI Era

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3pts0
www.localfirst.fm 1y ago

Local-First Landscape

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2pts0
addyo.substack.com 1y ago

Vibe Coding is not an excuse for low-quality work

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3pts0
cdn.openai.com 1y ago

A practical guide to building agents [pdf]

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1pts0
www.steampunkai.com 1y ago

AI Fundamentals: Agent Definitions

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3pts2
xcancel.com 1y ago

An analysis of recent Mozilla controversies and Firefox shortcomings

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8pts4
voiceaiandvoiceagents.com 1y ago

Voice AI and Voice Agents – An Illustrated Primer

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10pts2
ai-timeline.org 1y ago

AI Timeline – The Road to AGI

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3pts0
www.anthropic.com 1y ago

The think tool: Enabling Claude to stop and think in complex tool use situations

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26pts2
ishadeed.com 1y ago

CSS Relative Colors

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5pts0
leehanchung.github.io 1y ago

The Differences Between Deep Research, Deep Research, and Deep Research

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231pts76
evilmartians.com 1y ago

Don't just slap on a chatbot: building AI that works before you ask

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2pts0
evilmartians.com 1y ago

How to Favicon in 2025: Three files that fit most needs

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3pts0
www.latent.space 1y ago

O1 isn't a chat model (and that's the point)

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10pts1
ivanleo.com 1y ago

Using LLMs to make sense of chat data without compromising user privacy

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1pts0
www.youtube.com 1y ago

Building Dynamic AI Memory Systems: Dot's Approach to Personalization [video]

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1pts0
learn.deeplearning.ai 1y ago

LLMs as Operating Systems: Agent Memory Course by Letta

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2pts0
blog.langchain.dev 1y ago

Memory for Agents

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2pts0
danfaggella.com 1y ago

Muses, Not Sirens – Motivation in the Era of AI-Generated Girlfriends

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3pts3
agao.substack.com 1y ago

UI/UX in the Age of Generative AI

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2pts0
hamel.dev 1y ago

Creating a LLM-as-a-Judge That Drives Business Results

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82pts10
www.langchain.com 1y ago

Breakout Agentic Apps

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2pts0
opennext.js.org 1y ago

OpenNext: Open-Source Next.js Adapters

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1pts2
github.com 1y ago

Anthropic's Prompt Evalutions Course

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2pts0
github.com 1y ago

Promptfoo: Test your LLM app locally

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1pts0
stripe.dev 1y ago

New Website and Math Art

thenameless7741
6pts2

AFAIK, Phi-4-multimodal doesn't support TTS, but I understand OP's point.

The recent Qwen's release is an excellent example of model providers collaborating with the local community (which include inference engine developers and model quantizers?). It would be nice if this collaboration extended to wrapper developers as well, so that end-users can enjoy a great UX from day one of any model release.

it'll probably take a year for the FOSS community to implement and digest it completely

The local community seems to have converged on a few wrappers: Open WebUI (general-purpose), LM Studio (proprietary), and SillyTavern (for role-playing). Now that llama.cpp has an OpenAI-compatible server (llama-server), there's a lot more options to choose from.

I've noticed there really aren't many active FOSS wrappers these days - most of them have either been abandoned or aren't being released with the frequency we saw when OpenAI API first launched. So it would be awesome if you could share your wrapper with us at some point.

OpenAI O3-Mini 1 year ago

Interesting.. In the official API [1], there's no way to prefill the reasoning_content:

Please note that if the reasoning_content field is included in the sequence of input messages, the API will return a 400 error. Therefore, you should remove the reasoning_content field from the API response before making the API request

So the best I can do is pass the reasoning as part of the context (which means starting over from the beginning).

[1] https://api-docs.deepseek.com/guides/reasoning_model

I've just started experimenting on an AI wrapper that blends companion and assistant into one (think Replika meets Claude), but with an anime-style avatar for the main interface.

As I'm still very early (still in the ideation and prototyping phase), I'd love to hear about experiences that have stuck with you, or any works that got you excited about the possibilities.

As a technical person who recently taught myself frontend from scratch, I found https://web.dev/learn way more structured and thorough. The CSS lesson covers all the essentials and actually made me enjoy working with CSS.

web.dev doesn't get as much love as MDN, but it totally should!

Blog updates:

- Introducing the Realtime API: https://openai.com/index/introducing-the-realtime-api/

- Introducing vision to the fine-tuning API: https://openai.com/index/introducing-vision-to-the-fine-tuni...

- Prompt Caching in the API: https://openai.com/index/api-prompt-caching/

- Model Distillation in the API: https://openai.com/index/api-model-distillation/

Docs updates:

- Realtime API: https://platform.openai.com/docs/guides/realtime

- Vision fine-tuning: https://platform.openai.com/docs/guides/fine-tuning/vision

- Prompt Caching: https://platform.openai.com/docs/guides/prompt-caching

- Model Distillation: https://platform.openai.com/docs/guides/distillation

- Evaluating model performance: https://platform.openai.com/docs/guides/evals

Additional updates from @OpenAIDevs: https://x.com/OpenAIDevs/status/1841175537060102396

- New prompt generator on https://playground.openai.com

- Access to the o1 model is expanded to developers on usage tier 3, and rate limits are increased (to the same limits as GPT-4o)

Additional updates from @OpenAI: https://x.com/OpenAI/status/1841179938642411582

- Advanced Voice is rolling out globally to ChatGPT Enterprise, Edu, and Team users. Free users will get a sneak peak of it (except EU).

No system prompt support—the models use the existing chat completion API but you can only send user and assistant messages.

No streaming support, tool usage, batch calls or image inputs either.

I think it's worth adding a note explaining that many of these limitations are due to the beta status of the API. max_tokens is the only parameter I've seen deprecated in the API docs.

From https://platform.openai.com/docs/guides/reasoning

We will be adding support for some of these parameters in the coming weeks as we move out of beta. Features like multimodality and tool usage will be included in future models of the o1 series.

i previously converted this tutorial to an interactive website when it was still in google sheets format and shared it on hn: https://news.ycombinator.com/item?id=40395057

i'm currently in the process of hard forking the repo and converting the remaining tutorials to typescript. just yesterday, i completed the conversion for the next part called "real world prompting", which you can find here: https://freya.academy/anthropic-rwpt-00

that's right, i've mentioned this on the first page of the tutorial. if you don't enable interactive mode, the experience is the same as reading the answer sheet.

i converted the content to a web-friendly format as a personal learning exercise. hopefully it improves the accessibility as well.